Comparison of Regression Lines Using Dummy Variable Analysis

Handbook of Operations Analytics Using Data Envelopment Analysis  eBooks & eLearning

Posted by naag at April 8, 2017
Handbook of Operations Analytics Using Data Envelopment Analysis

Handbook of Operations Analytics Using Data Envelopment Analysis
Springer | Business & Management | August 2, 2016 | ISBN-10: 1489977031 | 572 pages | EPUB | 1.14 mb

Handbook of Operations Analytics Using Data Envelopment Analysis  eBooks & eLearning

Posted by Underaglassmoon at July 14, 2016
Handbook of Operations Analytics Using Data Envelopment Analysis

Handbook of Operations Analytics Using Data Envelopment Analysis
Springer | Business & Management | August 2, 2016 | ISBN-10: 1489977031 | 572 pages | pdf | 6.08 mb

Editors: Hwang, Shiuh-Nan, Lee, Hsuan-Shih, Zhu, Joe (Eds.)
Editor (Zhu) is one of the most prominent researchers in the field
Only book to explore using DEA in addition to other decision techniques
Prestigious and international group of contributing authors
Modern Regression Techniques Using R: A Practical Guide for Students and Researchers (repost)

Modern Regression Techniques Using R: A Practical Guide for Students and Researchers by Daniel B. Wright and Kamala London
English | ISBN: 1847879020, 1847879039 | 2009 | 216 pages | PDF | 2,4 MB

Handbook of Statistical Analyses Using Stata, (4th Edition) (repost)  eBooks & eLearning

Posted by arundhati at April 27, 2016
Handbook of Statistical Analyses Using Stata, (4th Edition) (repost)

Brian S. Everitt, Sophia Rabe-Hesketh, "Handbook of Statistical Analyses Using Stata, (4th Edition)"
English | 2006 | ISBN: 1584887567 | 345 pages | PDF | 40 MB

Linear Regression Analysis Basics in SPSS Statistics  eBooks & eLearning

Posted by Rare-1 at Jan. 5, 2016
Linear Regression Analysis Basics in SPSS Statistics

Linear Regression Analysis Basics in SPSS Statistics
WEBRip | MP4/AVC, ~393 kb/s | 1280 x 720| English: AAC, 48.0 kb/s (2 ch), 44.1 KHz | 411 MB
Genre: Business / Data & Analytics | Language: English | +Project Files

Beginner and Intermediate Data Analytic Methods for Testing Main Effects & Interactions with SPSS and the PROCESS Macro

Regression Models as a Tool in Medical Research  eBooks & eLearning

Posted by interes at July 19, 2015
Regression Models as a Tool in Medical Research

Regression Models as a Tool in Medical Research by Werner Vach
English | 2012 | ISBN: 1466517484 | 495 pages | PDF | 2,8 MB

The SAGE Handbook of Regression Analysis and Causal Inference  eBooks & eLearning

Posted by nebulae at March 21, 2015
The SAGE Handbook of Regression Analysis and Causal Inference

Henning Best and Christof Wolf, "The SAGE Handbook of Regression Analysis and Causal Inference"
English | ISBN: 1446252442 | 2014 | 424 pages | PDF | 7 MB

MedCalc 14.8.1  Software

Posted by speedzodiac_ at Sept. 8, 2014
MedCalc 14.8.1

MedCalc 14.8.1 | 28 MB

MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman plot, Passing and Bablok and Deming regression for method comparison studies.

Handbook of Statistical Analyses Using Stata, (4th Edition)  eBooks & eLearning

Posted by Specialselection at Jan. 3, 2014
Handbook of Statistical Analyses Using Stata, (4th Edition)

Brian S. Everitt, Sophia Rabe-Hesketh, "Handbook of Statistical Analyses Using Stata, (4th Edition)"
English | 2006-11-15 | ISBN: 1584887567 | 345 pages | PDF | 40.2 mb
"Practical Statistics and Experimental Design for Plant and Crop Science" by Alan G. Clewer,  David H. Scarisbrick

"Practical Statistics and Experimental Design for Plant and Crop Science" by Alan G. Clewer, David H. Scarisbrick
John Wiley & Sons | 2001 | ISBN: 0471899089 0471899097 9780471899082 9780471899099 | 348 pages | PDF | 75 MB

This book provides an introduction to the principles of plant and crop experimentation. Avoiding mathematical jargon, this text explains how to plan and design an experiment, analyse results, interpret computer output and present findings; suitable for a practical course to science students wishing to appreciate statistical methods in agricultural and environmental research.