Inbreeding coefficient işler

...(e.g. the 10th percentile of a variable for which we have 50 observations is located in the 10 (50+1)/100 = 5.1 or the 5-th ordered position). Program a function to calculate the percentiles. 3. (25 marks) The ? coefficient of an asset measures the sensitivity of its rate of return to variations in the portfolio market return. It can be calculated as � �=???(??,??) ???(??) where ?? is the rate of return of a given asset A and ?? is the rate of return of the market portfolio. Find data on the market return and program a function to calculate the ? coefficient of the stock you chose. Use the closing prices (C) to compute your returns. Note that ? estimate is based on close-to close (co)variance estimates—not the Rogers-Satchell range based variance...

I am in need of a financial data analyst with a strong background in statistical methods and SAS software. The task entails tracking loan defaults and borrower details. Using this data, the analyst would generate the Gini coefficient, Information Value (IV), and Weight of Evidence (WoE) calculations. Afterwards I need to reduce the number of categories and keep GINI above f.e. 20%. This will lead to shortlist the categories, and just put them in SAS and do an anylysis of maximum likelihood estimates and test it on in sample and out sample. The project is easy if you know coding. The whole description is attached. The outcome should be just tables with Gini, IV, WoE, which categories where shortlisted, how was the number of categories reduced and the final table (screnshot is enough)...

I need support in cleaning and organizing a dataset. - You should be proficient in Python. - Experience with data cleaning and manipulation. - Familiarity with data analysis would be an added advantage. Part A: Advanced Data Analysis Load '' into Jupyter or Colab. Compute Pearson's correlation coefficient for all attributes, save as corr_matrix. Sort and display correlation of all attributes with 'number_of_reviews'. Visualize with Seaborn's heatmap for corr_matrix and pandas' scatter_matrix for 'number_of_reviews', 'reviews_per_month', 'availability_365'. Part B: PCA with MNIST Dataset Discuss motivations and drawbacks of reducing dimensionality, including the curse of dimensionality. Explain if and how you can re...

...decomposition for regular and casual separately. 2.) Determine the impact of various worker characteristics on their wage in the Sectors (regular and casual separately) using centred regression for different percentiles. Then, the gender wage gap (between males and females) will be decomposed using Oaxaca-Blinder Decomposition (or Machado-Mata-Melly Decomposition) using this centred regression coefficient for different percentiles for regular and casual sectors separately. WORK EXPLANATION 1.) Sample Selection Adjustment: It addresses a potential bias, i.e., we only observe wages for people who are employed. But factors influencing labor force participation (like childcare responsibilities) might also affect wages. Women might be more likely to be out of the workforce for thes...

...Why? 6: Model Development 6.1. Multivariate linear regression- create two models using two automatic variable selection techniques discussed in class(Full(baseline), Backward). 6.2. For each model interpret and comment on the five main measures (Your commentary should be yours, not simply copied from example): 1. F-Stat 2. R-Squared value 3. Residuals 4. Significant variables 5. Variable Coefficient 6.3. Model evaluation: For both models evaluate the main assumptions of regression and evaluate model performance 6.4. Based on your preceding analysis, recommend which of the models should be used. 7: Professionalism and Clarity Deadline: with in 4 hours...

...decomposition for regular and casual separately. 2.) Determine the impact of various worker characteristics on their wage in the Sectors (regular and casual separately) using centred regression for different percentiles. Then, the gender wage gap (between males and females) will be decomposed using Oaxaca-Blinder Decomposition (or Machado-Mata-Melly Decomposition) using this centred regression coefficient for different percentiles for regular and casual sectors separately. WORK EXPLANATION 1.) Sample Selection Adjustment: It addresses a potential bias, i.e., we only observe wages for people who are employed. But factors influencing labor force participation (like childcare responsibilities) might also affect wages. Women might be more likely to be out of the workforce for thes...

...Train the MFSNet model using the original training dataset and evaluate its performance on the original testing dataset. Calculate accuracy metrics such as Dice coefficient and mIoU. Dataset Training: For each augmented dataset, train the MFSNet model using the augmented training dataset. Evaluate the performance of the model on the original testing dataset as well as on the augmented validation dataset. accuracy metrics for each augmented dataset. Results: Create graphs or visualizations to compare the performance of the model on different datasets. You can plot metrics such as Dice coefficient and mIoU for each dataset to analyze the impact of augmentation on model performance. The ideal candidate should possess excellent problem-solving abilities and

...example at least achieve a reflection coefficient |S11| <-10 dB which is a good indicator for impedance matching. To achieve this goal you need to consider all the above parameters in order to achieve the required outcome, remember that is a minimum required but further optimisation could be achieved as well. In this work, you are first required to provide a comprehensive review of the Slotted Waveguide Array (SWA) and its applications, along with the current advantages and limitations in the current climate. You need to consider both practical and theoretical aspects. In the second stage, you need to optimize the model using MATLAB, or any other software or language you are comfortable with. You need to present the results in terms of the reflection coefficient and t...

...given data sample. 7. Without using "predefined functions" Find the following: 7.1. Total deviation of the regression line 7.2. The equation of the Multi linear regression line. 7.3. Use the equation to find the expected Startup profit for a startup located in Florida and has the following features (R&D Spend: 270000$, Administration Spend: 150000$, Marketing Spend: 800000$). 7.4. The coefficient of determination. 7.5. The standard error of estimate. Millstone 2: write a simple report for the steps above and code explanation. Millstone 3 (extra not required): Use plotting techniques for the above data and codes and include them in the report. Notes: 1. The project milestones should be submitted within 24 hrs. 2. the dataset and example codes are availabl...

This is a civil engineering project. I need you to design a drainage system based on the city standards of Cleburne, TX for a proposed site plan on AutoCAD. This includes inlets(grade, curb inlets, desi...project. I need you to design a drainage system based on the city standards of Cleburne, TX for a proposed site plan on AutoCAD. This includes inlets(grade, curb inlets, design drainage pipes( sizing the pipes and elevations) that includes the flow lines and which the elevations directly correlate to the sizing of the pipes based on the hydraulics. Create a drainage area calculation table(runoff coefficient, rainfall intensity, peak rate of runoff). I have attached the project scope, the current site plan, and the proposed site plan. Include all design criteria and measurements you...

I need an expert in medical imaging and AI technology who can develop a system for detecting fractures in musculoskeletal radiographs. Here's what you need to know: - Specialization: The project primarily requires detecting fractures. However, due to the complexities and variety of fractures, th...fine-tuning and feature combinations. Modifications are made to enable individual models to output both class probabilities and relevant localization information. The hybrid model is then trained on a comprehensive dataset encompassing abnormalities in the elbow, shoulder, and wrist. Evaluation metrics include classification (accuracy, precision, recall) and localization (intersection over union, dice coefficient). I look forward to working with a professional who can deliver qualit...

...regression and decomposition techniques. OBJECTIVE Determine the impact of various worker characteristics on their wage in the Sectors (regular and casual separately) using centred regression for different percentiles. Then, the gender wage gap (between males and females) will be decomposed using Oaxaca-Blinder Decomposition (or Machado-Mata-Melly Decomposition) using this centred regression coefficient for different percentiles for regular and casual sectors separately. Centred Regression Model explanation The attached Research Paper explains an alternative estimation of the marginal effects for Recentered Influence Functions (RIF)-Ordinary Least Square (OLS) for interpreting RIF regressions. In this, post-estimation restricted least squares (RLS) regression analysis is combi...

...key parameters: - Maximum allowed stress for the thread - Coefficient of friction between the threaded surfaces - Thread pitch 4mm Your job would be to guide me through the decisions regarding these parameters based on your expertise. The project involves: 1. Understanding the Material: - Knowledge of AISI 4340 material properties is a must. - Experience dealing with its application in screws and threading will be plus. 2. Calculating Shear Resistance: - The main goal is to calculate the shear resistance of the thread. - You need to provide a detailed explanation of how to calculate it. 3. Advising on Parameters: - Suggestion on the maximum allowed stress for the thread. - Suggestion on the coefficient of friction between the threaded surf...

...determine consistency and correctness and stored in a different file from the raw data. . Univariate descriptive statistics will analyse singular variables such as participants' age, years of training, and experience associated with implementing psychotherapy by MHN. This will be achieved by calculating the measures of central tendency and dispersion of data to determine the standard deviation and coefficient of variance (Antonius & Core, 2013). Student t-tests will be used to compare the association between outcome and binary exposure variables. The bivariate analysis will be conducted using contingency tables and a chi-test for any significant variable associated with the implementation of psychotherapy by MHN, and a p-value of 0.05 will be considered statistically si...

...between genders and across employment types. - Incorporate Sample Selection Adjustment methodology into both models. 3. Mixed Effects Quantile Regression Model Application: - Employ mixed effects quantile regression models to assess the impact of employee characteristics on their wages within various employment types. 4. Quantile Regression Coefficient Modelling Framework Analysis: - Leverage the R-based Quantile Regression Coefficient Modelling Framework to investigate the influence of employee characteristics on wages across employment types. Required Skills & Qualifications: • In-depth knowledge of econometrics and statistical regression modeling (quantile regression, sample selection models, decomposition methods) • Advanced proficiency in ...

I am looking for someone to use data I obtained from wind tunnel tests and complete a list of tasks I have. (interpolation, plotting, post processing etc) Preferably all done in an excel sheet. There are three sets of data. 2 of which link to take 1.1-1.5 and one that links to tasks 2.1 and 2.2. We can discuss further and I can send you a detailed copy of the requirements. Tasks inc...plotting, post processing etc) Preferably all done in an excel sheet. There are three sets of data. 2 of which link to take 1.1-1.5 and one that links to tasks 2.1 and 2.2. We can discuss further and I can send you a detailed copy of the requirements. Tasks include: - theoretical Mach number variation - Pressure ratio - uncertainty analysis - drag calculations - momentum equations - drag coeff...

...the plane must already/still be inside the volume and the slice must be visible. A 3 second video is saved with a frame rate of 20 frames/second. Hide the result and do the next part. 2. Create an isosurface on the original volume that represents the edge of the vessels at value 200 of the "scalars" variable, coloring it blue. The rendering is modified by introducing the specular component (coefficient 0.8) and an environmental component equal to 0.1. Create a second Render View in which the blood vessels are displayed with volumetric rendering of the "scalars" variable, using a transfer function that makes "scalars" values less than 180 transparent, only those between 180 and 250 very opaque with color blue. Volumetric shading is enabled. Connect...

I want to design a new chaotic map for generating a chaotic sequence. I will use the dynamic key-based Fisher-Yates,to get better results with these two optimizations, I aim for improvements in terms of histogram, correlation coefficient, and entropy.

...enhance the confusion strategy, diffusion strategy, and the overall image encryption process. Key objectives include: - Increasing the security level of the image encryption - Improving the execution speed of the encryption process - Enhancing the quality of the encryption I'm also interested in improving the histogram of the encrypted image to achieve higher peak values, reduced correlation coefficient, increased entropy and a more balanced distribution. Ideal candidates should have a good understanding of image encryption and relevant experience. Strong problem-solving skills and efficient coding abilities will be key for optimising the project effectively....

...investigate the influence of family structure on academic achievement of senior high school students in the Kwabre East Municipal Area. This study is a cross-sectional study where data were collected from 363 students in the Kwabre East Municipal. The data collection instrument was a structured questionnaire. The data collected were analyzed descriptively and quantitatively. Pearson Correlation Coefficient is used to establish the relationship between family structure and academic achievement of the respondents. The majority of the respondents disagreed that parents give school authorities health information about wards and academic histories. The parent does not support their wards in-home learning. Parents, however, support ICT learning in the schools and attend school...

...specialist who can calculate and provide expert insight into how much torque is added by a high quality thrust bearing at various RPMs. Given present details such as bearing size, axial load, and coefficient of friction, your role will be significant in moving this project forward. Necessary Skills and Experience: - Deep understanding and experience with bearing systems, including thrust bearings -Ability to efficiently calculate torque in bearing systems - Able to work with specific RPM values - Comprehends concepts and technical jargon related to bearings, including axial load, and coefficient of friction - Able to effectively communicate complex ideas and results Your role will not only be to compute the torque but to also aid in enhancing my understanding of the impa...

Could I pay you $50 to write how you did the math for the 10 second example including the variables to make it more easily legible to the average person. And Also would this work for the bearings? do you understand Formula for calculating bearing torque: Torque (M) = Fr * d * μ + Fa * Dm * μa Where: M represents the torque Fr d...make it more easily legible to the average person. And Also would this work for the bearings? do you understand Formula for calculating bearing torque: Torque (M) = Fr * d * μ + Fa * Dm * μa Where: M represents the torque Fr denotes the radial load d signifies the rolling element diameter μ stands for the rolling element friction coefficient Fa represents the axial load Dm represents the mean diameter of the bearing μa denotes the ax...

The core objective of this project is estimate time varying coefficient. We are particularly interested in the implementation of the Kalman filter method using R programming language. This requires expert skills in R programming language, economic data analysis, and hands-on experience in the application of the Kalman filter method. A thorough understanding of time series data and economic indicators is also vital for this project. A suitable freelancer for this project therefore needs the following expertise: - Proficiency in R programming - Strong knowledge in time varying parameters estimation - Proved experience with the Kalman filter method - Deep understanding of economic indicators, particularly real GDP and Inflation rate - Capacity to handle and analyze economic data series

...to withstand long term usage. 3. Input Flexibility: The model should efficiently handle a variety of input data types and scales. (input parameters are temperatures for evaporator, condenser, and boiler, and delta super) 4. the code must use "Coolprop" function. Optimization targets for the system include pressure drop, flow rate, temperature difference, coefficient of performance (COP), entrained ratio, and enthalpies. Experience in HVAC system model design or related areas, along with a strong grasp of MatLab, will be crucial for this task. Looking forward to working with a dedicated and expert problem-solver on this project. The design code must include all equation and iterations described clearly. Check the attached file for ...

...groups. 3. **Properties Analysis:** - Investigate the following topological properties for each group: - Global-Small World - Global-Efficiency - Global-Rich-Club - Global-Assortativity - Global-Synchronization - Global-Hierarchy - Nodal-Clustering Coefficient - Nodal-Shortest Path Length - Nodal-Local Efficiency - Nodal-Degree Centrality - Nodal-Betweeness Centrality - Nodal-Community Index - Nodal-Participant Coefficient - Modular-Interaction **Requirements:** - Proficiency in MATLAB for conducting the analysis. - Provide complete codes, files, and a detailed guide explaining the methodology and steps undertaken during the analysis. - The output should be comprehensive and well-docu...

Calculate the U-value and Solar Heat Gain Coefficient (SHGC) using Window 7 tool

...transmissivity, Q is the pumping and W(u) is the well function, which is computed as: (2) (3) Where, xo and yo are the location of the wells and x and y coordinates at some distance away from the well. (4) To compute the Well Head Protection Area you need to compute the Radial distance, r, where the drawdown is negligible, for a given time. You need to know the Transmissivity (T) and storage coefficient (S). Capture Zone Analysis: This analysis makes 2 assumptions: 1. The Well of interest is located at point (0,0). 2. The X-coordinate Axis is parallel to the regional direction of the Groundwater flow The Regional Groundwater flow is computed as follows: (5) Where, K*B = Aquifer Transmissivity and i is the regional groundwater gradient. The stagnation point occurs at: (6) The Divi...

...setting of Fibo levels, where each section is one line consisting in turn, starting from the left, of the following elements: -- Checkbox. When checked, the line is visible on the chart. When unchecked, the line is not visible on the chart. Even if unchecked, it should remember the last entered values and selection options, described below. -- Edit field. Intended to enter the value of the Fibo coefficient, which lowers or increases the average line by a given value relative to the level of 1,000 (100%). The maximum value of this field is 999.999 and minimum value is 0.000. For example, when value = 1.000, the line is neither raised nor lowered, because it corresponds to the value of 100% (full height), when value = 0.620, the line is lowered and represents 62% of the full height...

Mechanical Design Project: Assistance in Finding CL, CW, and Velocity in a 3D Printing Design Skills and Experience Required: - Strong background in mechanical design - Proficiency in 3D design and printing - Familiarity with the concept of CL (lift coefficient), CW (drag coefficient), and velocity in aerodynamics - Experience in designing prototypes

I have a solidworks 2021 part. I want to find someone who can find Drag Coefficient and Lift Coefficient from the solidworks part.

Mechanical Design Project: Assistance in Finding CL, CW, and Velocity in a 3D Printing Design Skills and Experience Required: - Strong background in mechanical design - Proficiency in 3D design and printing - Familiarity with the concept of CL (lift coefficient), CW (drag coefficient), and velocity in aerodynamics - Experience in designing prototypes Project Details: I am seeking assistance in finding the CL, CW, and velocity in a mechanical design for a 3D printed prototype. The design is intended for a prototype application and requires intermediate level experience in 3D design and printing. Specific Requirements: - The freelancer should have a strong understanding of mechanical design principles. - Knowledge of aerodynamics, specifically CL, CW, and velocity, is essent...

...constant, ln(age), female and bachelor. F1 If age increases from 25 to 26, then how much are earnings expected to change? F2 If age increases from 33 to 34, then how much are earnings expected to change? H Run a regression of ln(ahe) on female, bachelor, and the interaction terms female × age and bachelor × age. H1 Report the regression results and provide interpretations for each estimated coefficient. H2 Plot the estimated regression function relating ln(ahe) and age for all the four possible cases with female = 1 or 0 and bachelor = 1 or 0. Interpret your plots. H3 Does gender have effect on earnings? Write out the null and alternative hypotheses and conduct a relevant statistical test; use a 5% type I error. H4 Calculate and report the average partial effect of a...

I am looking for a Matlab App Designer to create a personal application focused on the Damping Moment Coefficient for a sounding rocket Requirements: - Experience in Matlab app development - Strong understanding of Damping Moment Coefficient - Strong understanding of Damping Ratio - Has to be able to read reports and documents provided, and do further research - Ability to work with detailed specifications provided by the client Timeline: - The project should be completed within a month Please note that the client has a detailed list of specific requirements and features in mind for the app. However, they are open to suggestions and will provide all necessary information.

...complexities. I could also do an ANCOVA, but I believe this is rather to look for a difference in outcome means adjusted for baselines. I could also do a regression on the outcome and add an interaction Condition*Baseline to account for the baseline. I'm not sure what speaks against this. Or I could do some sort of Multi Level Regression. Given my expectation this would need to be a random coefficient model. Here I could do either a model with, analyzing the trends for each individual. Level 1 - Outcome, PrePost (Time 1 or Time 2) Level 2 - (condition 0/1), Age, Sex, Income, ID (identifies an individual uniquely) analyzing the trends for each individual. Or I could do a model with Level 1 - Outcome Level 2 - (condition 0/1), Age, Sex, Income, baseline Or I could, suppo...

...models that are computationally efficient, allowing for real-time or near-real-time processing of medical images.( we can design an automatic segmentation model that will segment the tumor image that should be adjustive for any real time images means it should automatically adjust the parameters to segment the image then evaluating the model based on parameters like accuracy,dice similarity coefficient,similarity index,intersection over union etc ) we want the results with using this model and without using this model The project needs Designing a novel feature extraction model that will be used to extract the features from the texture of the tumor images then applying transfer learning model for classification so that we will be able to find the features that are giving the ...

I am looking for a skilled engineer to perform a CFD analysis on an airfoil. The desired outcome of the analysis is to optimize the lift and drag coefficients of the airfoil. The analysis should be conducted using ANSYS software, as per the client's preference. The specific operating conditions for the airfoil during the simulation...optimize the lift and drag coefficients of the airfoil. The analysis should be conducted using ANSYS software, as per the client's preference. The specific operating conditions for the airfoil during the simulation are subsonic flow. Ideal skills and experience for this project include: - Proficiency in CFD analysis using ANSYS software - Knowledge of airfoil aerodynamics and lift/drag coefficient optimization - Experience with subso...

I got a script from codepen to generate a pure frequency and I want to modify it so that the user launches several frequencies depending on the frequency entered. Example: the user enters 100hz, the generator creates 10 frequencies with a multiplier coefficient of 1.1, this gives 10 frequencies of: 100 110 121 133.1 146.41 161.051 177.1561 194.87171 214.358881 235.7947691 The frequencies must all be played at the same time.

...expDev; ExpAverage ExpAverage ( IDataHolder data, int length); Default values: length: 12 Descrip<on Returns the exponen<al moving average (EMA) of data with length. The formula for the calcula<on of the exponen<al moving average is recursively defined as follows: EMA1 = price1; EMA2 = α*price2 + (1 - α)*EMA1; EMA3 = α*price3 + (1 - α)*EMA2; EMAN = α*priceN + (1 - α)*EMAN-1; where α is a smoothing coefficient equal to 2/(length + 1). Note that in thinkScript®, exponen<al moving averages use prefetch, see the Past Offset and Prefetch ar<cle for details. Input parameters Parameter Default value Descrip1on data - Defines data for which the average is found. length 12 Defines period on which the average is found. Example...

I need a freelancer to help teach me how to calculate the intraclass correlation coefficient (ICC) so that I can determine the agreement between raters, with the presence of missing observations of participants. I need someone with an advanced understanding of statistics and data analysis to help me complete my task.

We would like to solve two LOGOS: NDS NON DIRECT SYSTEM keywords: Non direct (Indirect) cooling (refrigeration) technology High (system) operating (operational) efficiency Op...High (system) operating (operational) efficiency Operational savings up to 50 % compared to other commercial technologies Industrial cooling technology with a long service life (lifespan) Full use of waste heat (use of heat-recovery system) Heat accumulation AOR ADVANCED OPTIMIZATION (AND) REGULATION keywords: Advanced regulation of NDS technology Optimalization of the cooling factor (COP - Coefficient of performance, EER Energy efficiency ratio) and energy (efficiency) demand of the technology Work with energy fluxes Basic LOGOS follow each other and complement each other, but they can also be use ind...

i've the responses in excel.. Run following results: 1. Descriptive Statistics 2. Hypothesis Testing 3. Pearson correlation coefficient 4. test the significance of the correlation coefficients using a t-test 5. multiple regression analysis 6. estimate the regression coefficient 7. test their significance using a F-test or a t-test 8. One Way Anova 9. Chi Square Test 10. paired-samples t-test And write the interpretation of Results Budget is USD 10 Thanks

Hello guys, I need some help with a formula in Excel. I have a file with few tabs. Basically I would like to have a table that measures the productivity of my staff in the factory. In one tab we have targets, in next are all employees, and next one is daily produced numbers. It just have to match the target with the produced sheet and add coefficient in the tab with employees. As you a simple task for 5 minutes for every experienced programmer. Looking forward your bids

Sinewave Inverter Project - Lighting Equipment - Power Rating: 250VA - Input : 24VDC nominal [Can be anything between battery down 16V, battery overcharged 30V] (2) Output:- (i) Voltage = 110V RMS (ii) Current = 2 Amp (ii) Freq = 500 Hz (iii) Pure Sine Wave; THD 5% (iv) Power Load Coefficient (Capacitive) = 0.6 pf (Lead), minimum - Devices connected: Lighting Equipment I am looking for a freelancer who can develop a sinewave inverter for my lighting equipment. The inverter should have a power rating of 250VA. I have specific requirements for the input and output voltages, which will be discussed further. The inverter should be able to efficiently power the lighting equipment without any disruptions. Skills and Experience: - Experience in designing and develop...

...training of the selected model using the dataset, and fine-tune its parameters through techniques like grid search or random search, optimizing its performance. 6. **Model Testing and Validation:** Rigorous assessment of the model's performance will be executed by your experts using Python libraries like scikit-learn and metrics like mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R-squared). 7. **Web Design and MVP Deployment:** Your agency will design and implement a user-friendly web interface for the MVP, similar in design and functionality to this: The MVP will be deployed using modern web frameworks such as Flask or Django, providing users with a

I need someone to build me a model in excel (preferably) where I can input 3 variables. The model will then produce two series of random variables with a Poisson Distribution. Variable Input 1 - Mean of Poisson Distribution 1(X) Variable Input 2 - Mean of Poisson Distribution 2 (Y) Correlation coefficient Input - Correlation between Poisson Distribution 1 and Distribution 2 Once these three inputs are changed the output of the two random Variables X & Y will change. I need about 30,000 random variables for each X & Y. The correlation between the two - (the third input) - has to be allowed to be either negative or positive. See attached a spreadsheet showing required inputs and outputs.

...professional who can design and build a 3-phase inverter with the following specifications: Power Rating: - The inverter should have a power rating of 250 VA. Input and Output Voltage Requirements: * Input = 48V DC * Output:- * Input = 48V DC * Output: (1) Three phase; Pure Sine Wave (2) Frequency = 1000 Hz (3) Line Voltage = 36V AC (4) Current = 4 Amp (5) Power Rating = 250VA (6) Power Load Coefficient (Inductive) = 0.6 pf (Lag), minimum Output Waveform: - The system should produce a sine wave output waveform. Ideal Skills and Experience: - Experience in designing and building 3-phase inverters. - Knowledge of power electronics and electrical engineering. - Familiarity with inverter voltage requirements and waveform generation. Please provide examples of previous projects a...

write a code (MUST BE ON THONNY) including: a. Data types, such as strings, integers, and booleans b. Data structures, like lists, sets, tuples, and dictionaries c. Loops d. Conditional logic...Conditional logic, such as use of bools and if statements to control flow e. Python functions and parameters, both calling and defining g. Importing and using Python modules h. Error handling and debugging i. Coding standard write a code that take individual data points from the .csv file attached and calculated all of them to see if there are any correlations between the data points (Pearson coefficient). make sure the only tool used is pandas. Make sure to comment on what each of the steps is doing. also make sure that people can input their own data sheet file path and still get the corr...

The project consists of two phases. In the first phase, you are required to write a program that can calculate all the roots, including the complex ones, of a polynomial Pn(x) of positive integer degree n and the coefficient a0 of xn is positive. The solution method is recursive, which means it will break down the problem into smaller sub-problems until it can solve them easily. The recursive solution method has the following steps: Step 1: If the degree of the polynomial Pn(x) is less than or equal to 4, use the solve_p4c.c program to find the roots. Step 2: If the degree of the polynomial Pn(x) is odd, find a segment (a,b) where Pn(a)Pn(b) < 0. You can calculate Pn(0) to determine which value to use for a and b. Then use the bisection method or the bisection method with regu...

I am looking for someone who knows how to setup and run Pearsons correlation factor using excel. I am not interested in hiring someone who can learn, who thinks they know. I am compiling data now

I am looking for a freelancer who can help me solve the quadratic equation using the LMS method for curve fitting. I need to find the coefficients a, b, and c in detail. Requirements: - Expertise in solving quadratic equations and curve fitting using the LMS method - Proficiency in mathematical algorithms and techniques for finding coefficients - Knowledge of specific values for a, b, or c as constraints for the solution Ideal Skills and Experience: - Strong background in mathematics and numerical analysis - Experience in solving quadratic equations and curve fitting - Familiarity with the LMS method and its application in curve fitting - Ability to work with specific constraints and conditions for finding coefficients If you have the necessary skills and experience in solving quadrati...