Tag: regression

Feed: AWS Big Data Blog. Amazon Redshift is the fastest, most widely used, fully managed, and petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift ML, powered by Amazon SageMaker, makes it easy for SQL users such as data analysts, data scientists, and database developers to create, train, and deploy machine learning (ML) models using familiar SQL commands and then use these models to make predictions on new data for use cases such as churn prediction, customer lifetime value prediction, and product recommendations ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. In The Essential Guide to Bootstrapping in SAS, I note that there are many SAS procedures that support bootstrap estimates without requiring the analyst to write a program. I have previously written about using bootstrap options in the TTEST procedure. This article discusses the NLIN procedure, which can fit nonlinear models to data by using a least-squares method. The NLIN procedure supports the BOOTSTRAP statement, which enables you to compute bootstrap estimates of the model parameters. In nonlinear models, the sampling distribution of a regression estimate is often non-normal, so bootstrap confidence ... Read More

Feed: R-bloggers. Author: finnstats. The post Types of Regression Techniques Guide appeared first on finnstats. If you want to read the original article, click here Types of Regression Techniques Guide. Types of Regression Techniques, Regression analysis is used to examine how changes in an independent variable affect the dependent variable. Subscribe to our newsletter! Basically, Regression analysis involves creating an equation to describe the significant association between one or more predictors and response variables, as well as estimating current observations. The results of the regression reveal the direction, size, and analytical significance of the relationship between predictor and response, where ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. This article implements Passing-Bablok regression in SAS. Passing-Bablok regression is a one-variable regression technique that is used to compare measurements from different instruments or medical devices. The measurements of the two variables (X and Y) are both measured with errors. Consequently, you cannot use ordinary linear regression, which assumes that one variable (X) is measured without error. Passing-Bablok regression is a robust nonparametric regression method that does not make assumptions about the distribution of the expected values or the error terms in the model. It also does not assume that the errors are ... Read More

Feed: R-bloggers. Author: finnstats. The post How to calculate Power Regression in R (Step-by-Step Guide) appeared first on finnstats. If you want to read the original article, click here How to calculate Power Regression in R (Step-by-Step Guide). Power Regression in R, Power regression is a non-linear regression technique that looks like this: y = ax^b where: y: The response variable x: The predictor variable a, b: The coefficients of regression used to describe the relationship between x and y. When the response variable is equal to the predictor variable raised to a power, this sort of regression is utilized ... Read More

Feed: R-bloggers. Author: finnstats. The post Decision tree regression and Classification appeared first on finnstats. If you want to read the original article, click here Decision tree regression and Classification. Decision tree regression and Classification, Multiple linear regression can yield reliable predictive models when the connection between a group of predictor variables and a response variable is linear. Random forest machine learning Introduction » finnstats Non-linear approaches, on the other hand, can perform better when the relationship between a set of predictors and a response is very non-linear and complex. Regression Trees A regression tree is a method that uses ... Read More

Feed: R-bloggers. Author: ApokalypsePartyTeam. In a hospital, 9% of all patients have Covid-19. But: Among the heavy smokers among these patients, only 6% have Covid-19. What? Does smoking reduce your risk of getting Covid? Another example: I recently saw a post on Twitter with a line graph showing that, in the UK, persons aged 18 to 59 who were vaccinated against the coronavirus had a higher risk of dying (from any cause) in the next 21 days as opposed to unvaccinated persons aged 18 to 59. Does the vaccine increase your chance of dying? The answers to these questions can ... Read More

Feed: R-bloggers. Author: sang-heon lee.   #———————————————–  # F test by using linearHypothesis()  #———————————————–  # H0 : b2/b1 = Nelson-Siegel slope factor  #      b3/b1 = Nelson-Siegel curvature factor  #———————————————–    NS_slope – (1–exp(–lambda*tau))/(lambda*tau)    NS_curvature – NS_slope – exp(–lambda*tau)    H0 – c(paste0(“slope_can=”,NS_slope,“*level_can”),             paste0(“curvature_can=”,NS_curvature,“*level_can”))    # F test for coefficients restrictions    linearHypothesis(reg.U, H0)  #———————————————–  # F test by mannual calculation  #———————————————–  # H0 : b2/b1 = Nelson-Siegel slope factor  #      b3/b1 = Nelson-Siegel curvature factor  #———————————————–    # restricted regression model    reg.R – lm(exr_can3 ~ I(level_can +                     NS_slope*slope_can +                     NS_curvature*curvature_can),                 data = df.data, na.action = na.omit)    # input variables for F-test    T – length(reg.U$residuals)    # # of observations    K – length(reg.U$coefficients) # # of parameters    J – 2                          # # of restrictions      # residual sum of squares    RSSU – sum(reg.U$residuals^2)    RSSR – sum(reg.R$residuals^2)    # calculated F-test statistic    F_test – ((RSSR – RSSU)/J)/(RSSU/(T–K))    # 95% critical value and p-value    qf(.95, df1=J, df2=(T–K))        # 95% critical value    1 – pf(F_test, df1=J, df2=(T–K)) # p-value ... Read More

Feed: R-bloggers. Author: Selcuk Disci. [This article was first published on DataGeeek, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Huge lines at gas stations have been seen around Turkey in recent days. Under the reason for this is the rise in the prices so often, in the last few months and the expectation to continue this. Of course, it is known that the rise in the exchange rate (US dollar to Turkish ... Read More

Feed: Planet PostgreSQL. 1. Overview I have been working on an internal project based on PostgreSQL for a while, and from time to time, I need to run some specific test cases to verify my changes. Here, I want to shared a tip to run a specific regression TAP test quickly, especially, when you are focusing on a particular bug and you know which test case can help verify the fix. A details document about the regression test can be found at Running the Tests. 2. Regression test PostgreSQL provides a comprehensive set of regression tests to verify the SQL ... Read More