Understanding Predictive Models Using R Software

Understanding Predictive Models Using R Software
Author :
Publisher : Cambridge Scholars Publishing
Total Pages : 211
Release :
ISBN-10 : 9781036415303
ISBN-13 : 1036415309
Rating : 4/5 (309 Downloads)

Book Synopsis Understanding Predictive Models Using R Software by : Kirti Raskar

Download or read book Understanding Predictive Models Using R Software written by Kirti Raskar and published by Cambridge Scholars Publishing. This book was released on 2024-10-30 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysing data and using it to predict future events has become an extremely important aspect in this era when data is so rapidly generated everywhere. For this purpose, many traditional and data driven predictive models are available in statistical literature. For a new researcher or data analyst, the choice of a regression model for a particular situation is very difficult as there are plenty of predictive models available for data analysis for different situations. This book will help the researcher understand the different predictive models. It gives a glimpse of many traditional as well as data driven models available for different situations. It also describes those models from a statistical point of view with illustrations using R software for better understanding. It also provides the comparison between the models to have a clear idea about the different assumptions on which the models are based, and the solution if any assumption is violated. The book also mentions the different situations that researchers have to tackle while fitting models like dealing with outliers, overfitting, and heterogeneity in the data.


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