Call Us 080-41656200 (Mon-Sat: 10AM-8PM)
Free Shipping above Rs. 1499
Cash On Delivery*

Resampling Techniques in Regression Analysis for Model Simplification

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
Delivery in :  10-12 Business Days

 

Check Your Delivery Options

 
Rs. 5,886

Availability: In stock

 
  • Product Description
 

Resampling techniques are now-a-days widely used for model assessment and comparison. In the literature, many variable selection methods for regression modeling have been developed whose performance depends critically on the stopping rules. In this book, resampling application for variable selection on the basis of optimum choice of stopping rules for each data set and model simplification in various regression models are addressed. We propose a general approach of resampling techniques in regression analysis that allows us to ‘choose’ the stopping criterion's for each data set. Our selection method first choosing appropriate cutoff values/stopping criterion's and results in selecting a good subset regression model. We focus on optimizing cutoff values or stopping criterion's in automated model selection methods in regression analysis due to the interest in holding only authentic predictor variables in the regression models. We first focus on linear regression model, and then extended our approach to generalized regression, cox regression and finally robust regression.

Product Specifications
SKU :COC24374
AuthorZafar Mahmood
LanguageEnglish
BindingPaperback
Number of Pages272
Publishing Year10/23/2012
ISBN978-3659142901
Edition1 st
Book TypeMathematics
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-28 00:00:00
0 Review(s)