Multivariate nonlinear regression There are 40 Variables in a database, V1...V40. Each variable comes with 10.000+ measurements M1...Mn at equal time intervals. The database structure is ike this: V1 V2 V3 ... Vn M1 M2 . Mn Use R for a regression task, provide the R code that achieves these tasks: (0) simulate the values from the database with some
SPSS: I have an excel f...different ratios about them such as Sharpe Ratio, Treynor ratio, Jensen Measures (Jensen Alpha, P-Value), Fama Measures, Transformed Sharpe Measures, Pooled and individual Regression for Treynor-Mazury (TM) (t-value, variance inflation factor, tolerance, condition index, intercept, Rm, Rm square, F-Value, P-Value) using SPSS.
Set up QA pipeline regarding smoke,performance,and regression test in single Jenkins file which is running on Windows machine for dot net applications
...general web development. Pay starts at $12.00 What you'll do: - perform manual user acceptance testing to verify that existing functionality continues to work - perform manual regression testing by verify that new changes work as intended and do not introduce issues - explore new features in search of unexpected and unintended behavior - prioritize and scope
I need a multiple regression test done on Excel. I need to find the effect of a bunch of variables on the S&P500. The Multiple Regression analysis will be run on 1 day interval %CHG data from investing.com. [kirjaudu nähdäksesi URL:n] - The data is to be run from 2010-01-01 until 2018-07-14 (present). The data does
Requires good statistical knowledge including: -log linear -log logistics -regression -Multilevel modelling The project is split in 4 parts and I would prefer if you are able to do them all.
...Select the optimal feature selection. Since then we also find out some strategies (Decision tree/Association Rules, etc. Part 3: Machine Leaning and DL Models 1. ML model • Regression • KNN • Random Forest • SVM • ANN • Deep Learning (LTSM,HTM, Tensorfow, etc) 2. Evaluation Part 4: Portfolio Construction/Optimization • Strategies • Portfolio...
I need Java devel...core java skills with performance orientation to minimize latency. * Deep familiarity with HTTP and web server behavior * Familiarity with a Java unit testing framework. Regression testing on example content is essential. * Solid Linux skills * Working hours that provides some overlap with Chicago (UTC-6) working hours (0830-1730).
Looking for an experienced Data Scientist is prides themselves at being very good at applying ARIMA (USING Excel Only). The data I have already collected is trading data or what is commonly known as candle data
For academic purposes, I would like to have a binary logistic regression model built with SPSS. three most important points are: at least a 70% r squared value according to Nagelgerke, no auto-correlation between predictors and rightly signed coefficients.
least-square regression, Linear regression, Polynomial Regression, Non-Linear regression, Approximation of 1st order Derivative, Rectangular rules, Trapezoidal Rule, Simpson's rule, Richardson's Extrapolation, Simpson's 1/3 rule, Romberg integration, Euler's method, Heun's Method
Experienced Machine Learning, Data Science and a Python Programmer needed. Must be experienced with Neural Network, KNN, SMV, Classification, Regression, Python using tensor flow, jupyter, Anaconda package. Artificial Intelligence
Looking for professional person who could help me in my graduate project. My project is about predicting house prices using Multiple Regression , Random Forest , Neural Network and Support vector Machine using R or R-studio. I have to find the best model. my project report will be in a LaTex format. It's a one-time project . I need on an urgent basis
...popular machine learning methods: K-Means, Naive Bayesian, Support Vector Machines, Maximum Entropy Develop and perform text classification using methods such as logistic regression, decision trees, support vector machines and maximum entropy classifiers Develop, Implement/deploy restful web services using Java Requirement: Core Java Developer Significant
Conversion of R scripts implementing different types of logistic regression models and exploratory data analysis to R. The length of the R scripts does not exceed the 2000 rows. Work does not include the review or analysis of data