Posted by **BUGSY** at June 22, 2015

English | 1994 | ISBN: 364278819X | 541 Pages | PDF | 15 MB

The aim of this book is to give an up to date account of the most commonly uses statisti cal models for categorical data. The emphasis is on the connection between theory and applications to real data sets. The book only covers models for categorical data.

Posted by **BUGSY** at June 22, 2015

English | 1986 | ISBN: 940108324X | 430 Pages | PDF | 7 MB

As long ago as 1897 Karl Pearson, in a now classic paper on spurious correlation, first pointed out dangers that may befall the analyst who attempts to interpret correlations between ratios whose numerators and denominators contain common parts.

Posted by **BUGSY** at June 22, 2015

English | 1989 | ISBN: 1461269865 | 380 Pages | PDF | 16 MB

The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data.

Posted by **tarantoga** at Feb. 16, 2017

ISBN: 1493909827 | 2014 | EPUB | 207 pages | 2 MB

Posted by **ksveta6** at Oct. 4, 2016

2015 | ISBN: 1118736869 | English | 256 pages | PDF | 2 MB

Posted by **DZ123** at March 15, 2016

English | 1974 | ISBN: 0852642288 | PDF | pages: 170 | 7,5 mb

Posted by **tanas.olesya** at Oct. 8, 2015

English | 6 May 2011 | ISBN: 9400712103 | 62 Pages | PDF | 4 MB

The core principles of statistical analysis are too easily forgotten in today's world of powerful computers and time-saving algorithms.

Posted by **bookwyrm** at Sept. 19, 2015

2007 | 428 Pages | ISBN: 0387698094 | PDF | 3 MB

Posted by **interes** at June 30, 2015

English | 2014 | ISBN: 1439855676 | 547 pages | PDF | 4,6 MB

Posted by **BUGSY** at June 22, 2015

English | Sep 9, 2002 | ISBN: 047136357X | 460 Pages | PDF | 10 MB

Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns. Introduces the martingale and counting process formulation swil lbe in a new chapter.