Anova

Design and Analysis of Gauge R&R Studies: Making Decisions with Confidence Intervals in Random and Mixed Anova Models

Richard K. Burdick, Connie M. Borror, Douglas C. Montgomery, "Design and Analysis of Gauge R&R Studies: Making Decisions with Confidence Intervals in Random and Mixed Anova Models"
English | 2005 | ISBN: 0898715881 | PDF | pages: 220 | 22,7 mb

Beyond ANOVA: Basics of Applied Statistics (repost)  eBooks & eLearning

Posted by interes at May 14, 2015
Beyond ANOVA: Basics of Applied Statistics (repost)

Beyond ANOVA: Basics of Applied Statistics by Rupert G. Miller, Jr.
English | 1986 | ISBN: 0471819220 | 334 pages | LQ scan PDF | 20 MB

Smoothing Spline ANOVA Models (2nd edition) (Repost)  eBooks & eLearning

Posted by advisors at Dec. 13, 2014
Smoothing Spline ANOVA Models (2nd edition) (Repost)

Smoothing Spline ANOVA Models (2nd edition) By Chong Gu
2013 | 447 Pages | ISBN: 1461453682 | PDF | 6 MB

Introducing Anova and Ancova: A GLM Approach  eBooks & eLearning

Posted by step778 at Aug. 18, 2014
Introducing Anova and Ancova: A GLM Approach

Andrew Rutherford, "Introducing Anova and Ancova: A GLM Approach"
2001 | pages: 193 | ISBN: 0761951601 | PDF | 3,1 mb

ANOVA and ANCOVA: A GLM Approach, 2nd Edition  eBooks & eLearning

Posted by nebulae at May 5, 2014
ANOVA and ANCOVA: A GLM Approach, 2nd Edition

Andrew Rutherford, "ANOVA and ANCOVA: A GLM Approach, 2nd Edition"
English | ISBN: 0470385553 | 2011 | 360 pages | PDF | 16 MB

Beyond ANOVA: Basics of Applied Statistics (repost)  eBooks & eLearning

Posted by interes at Nov. 22, 2013
Beyond ANOVA: Basics of Applied Statistics (repost)

Rupert G. Miller, Jr., "Beyond ANOVA: Basics of Applied Statistics"
English | 1986 | ISBN: 0471819220 | 334 pages | LQ scan PDF | 20 MB

This book goes beyond specific methods in specific applications to consider the full range of techniques which can be used to solve a statistical problem. This applied text treats general topics such as one- and two-sample problems, one- and two-way classifications, regression analysis, ratios and variances. It includes helpful problem-solving hints and references along with theoretical and real-life exercises at the end of each chapter.

Smoothing Spline ANOVA Models  eBooks & eLearning

Posted by bookwyrm at Oct. 6, 2013
Smoothing Spline ANOVA Models

Smoothing Spline ANOVA Models By Chong Gu
2013 | 447 Pages | ISBN: 1461453682 | PDF | 6 MB

GraphPad Prism 7.04  Software

Posted by Bolaxv at Jan. 14, 2018
GraphPad Prism 7.04

GraphPad Prism 7.04 | 17.1 MB

GraphPad Prism combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. GraphPad Prism was originally designed for experimental biologists in medical schools and drug companies, especially those in pharmacology and physiology. Prism is now used much more broadly by all kinds of biologists, as well as social and physical scientists. More than 200,000 scientists in over 110 countries rely on Prism to analyze, graph and present their scientific data. It is also widely used by undergraduate and graduate students.

Statistics / Data Analysis in SPSS: Inferential Statistics  eBooks & eLearning

Posted by Rare-1 at Jan. 5, 2016
Statistics / Data Analysis in SPSS: Inferential Statistics

Statistics / Data Analysis in SPSS: Inferential Statistics
WEBRip | MP4/AVC, ~323 kb/s | 1280 x 720| English: AAC, 67.5 kb/s (2 ch), 44.1 KHz | 841 MB
Genre: Business / Data & Analytics | Language: English | +Project Files

Learn how to use SPSS to analyze and interpret t tests, ANOVA, correlation, regression and chi-square statistical tests.

Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (repost)  eBooks & eLearning

Posted by hill0 at Jan. 22, 2018
Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (repost)

Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (Statistik und Ihre Anwendungen) (German Edition) by Carsten Dormann
German | 8 Feb. 2013 | ISBN: 3642347851 | 372 Pages | PDF | 4.38 MB

Beispielreich baut das Buch Schritt für Schritt die statistischen Grundlagen moderner Datenanalysen für Anwender auf. Dabei wird besonderer Wert auf einen roten Faden gelegt, der alle Methoden