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    7,449 using regression equation jobs found, pricing in USD

    ...entry. You must have experience with SPSS and the following statistical tests: raw frequencies and adjusted odds ratios (OR) with 99% confidence intervals (CI), logistic regression analysis WHILE accounting/adjusting for confounding variables. The person I select to help me with this must be able to discuss the study design and understand the clinical

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    QA Manual Tester 4 days left

    ...least 2 years experience doing QA in software development projects (web and mobile) -Strong knowledge in software QA methodologies, tools and processes (functional, smoke, regression) -Experience in agile methodology -Excellent communication and documentation skills -Can write test plans -Can work under minimal supervision and can attend daily scrum -Experience

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    I need matlab code to solve 2D heat equation "PDE " using finite difference method implicit schemes I have to equation one for r=0 and the second for r#0

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    ...you. I have a panel dataset and I want to use time fixed effects regression to estimate a model and forecast values with the fitted model. My panel data is unbalanced and has 40.109 rows and 25 columns, although a lot of observations are NaN (no observations). I have 3 different regression models with an A and B version which I fit on the data to assess

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    ...block and its 2D dimention initially 30 mm by 30 mm and made of same maertial Titanium. The laser is moving horizontally from 0 mm to 30 mm. see uploaded pic. The laser equation will be provided later. After scan the 30 mm by 30 mm, area is raised 1 mm. and again laser heat applied on that new 30 mm by 30 mm area same as previous. again it will raise

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    We are hiring experts from Physics back...Choice Questions (IIT JEE and NEET level) - Candidate should have excellent subject knowledge. - Candidate should have proper writing skills. - Proper knowledge of MS word and equation typing. Commercials: Study Notes - Rs.35 - 40 (INR) per page MCQ - Rs.25 - 30 (INR) per MCQ Attachment: Sample questions

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    ...algorithm. Need help for MATLAB coding Prefer freelancer who can do in 6days. Sample algorithm is attached as [login to view URL] optimal scheduling of hydro-thermal wind power plant using information gap decision theory to deal with wind power uncertainty my objective function is to minimise the fuel cost of the thermal power plant by make a robust decision based

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    Multiple regression analysis to test the hypotheses (Cohen et al. 2003). To avoid problems with multicollinearity, we mean-centered the exogenous variables, as Cohen and colleagues (2003) recommend. The variance inflation actors indicate that multicollinearity is not a threat to the conclusions of the study. To test for the relative magnitude of the

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    ...DELIVERABLES ARE You have to send back the output of the regression (coefficients, graphs) in a way, that it can be used in Microsoft Word or Excel, if possible. The regression needs to be done using Feasible Generalized Least Squares AND Maximum Likelihood The output table of the regression needs to contain: - Beta coefficients - Error term - Squared

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    We are hiring experts from MATHEMATICS background for: 1. Preparin...Choice Questions (IIT JEE level) - Candidate should have excellent subject knowledge. - Candidate should have proper writing skills. - Proper knowledge of MS word and equation typing. Commercials: Study Notes - Rs.35 - 40 (INR) per page MCQ - Rs.25 - 30 (INR) per MCQ

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    ...and Derivative commodities in Agriculture space. The model should cover entire flow of Instrument valuation, various Hedge Effectiveness testing - Dollar Offset, Linear Regression and generation of A/C Entries based upon Cash Flow and Fair Value Hedge. The A/C Entries should include bucketing of OCI & PnL accounts. More information can be discussed

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    Trophy icon Unicorns and Rainbows 21h left

    Hi All, I need 2 images for some slides. The topic is about UI regression and how something great can become something with the same elements, but now be not so great. I would like both images to be of a super sonic rainbow powered unicorn (or alicorn/pegacorn). The unicorn in both images needs to be obviously the same animal. Impressions

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    simple task just to develop a pid controller and i will provide you reference which is developed in matlab simulink so you can understand better. and i need timing alysis...can understand better. and i need timing alysis of each block and plotting the waveform in serial plotter of controller output and plant output plant is simple first order equation

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    ...to implied by the betting market goal and win supremacy. Then model should look back over the season's games for each football league and use (probably?) standard linear regression techniques to come up with a set of rankings that are most consistent with the derived before goals and supremacy values for those games Here's a good explanation of what

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    We have down all the modeling and design part and we have the files ready to be used on the unreal engine to develop a scenari...vegetables Design level is done and we can share files all we need to do is the the actions on unreal engine and develop the game which is simple a scenario of 7 questions and each equation take us to the next step. Thanks,

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    ...and E are unnecessary and extraneous, and I don't wish to have them in the final Python script, unless they are necessary. Recreation of pandas now-deprecated rolling() regression functionality for multivariate linear regressions. I believe this has been deprecated, but it appears still listed in the pandas documentation. If it is still functional

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    We need a Python script to take in any given dataset (meaning either a regression task or a machine learning task) and select features according to four feature selections algorithms which will be provided. We are expecting the following: df_raw df_one df_two df_three df_four where df_raw is what we provide and df_one...df_four are the dataframes you

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    ...and E are unnecessary and extraneous, and I don't wish to have them in the final Python script, unless they are necessary. Recreation of pandas now-deprecated rolling() regression functionality for multivariate linear regressions. I believe this has been deprecated, but it appears still listed in the pandas documentation. If it is still functional

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