Memaparkan catatan dengan label Regression. Papar semua catatan
Memaparkan catatan dengan label Regression. Papar semua catatan

Isnin, 24 Mac 2003

Download Logistic Regression: A Self-Learning Text (Statistics for Biology and Health) Pdf

Logistic Regression 1441917411

Book Detail
Edition: 3rd ed. 2010
Release: 2010-07-01
Publisher: Springer
Binding: Hardcover
ISBN/ASIN: 1441917411
Format: hardcover, kindle, PDF, EPUB

Logistic Regression pdf
Description

This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing, assessing Goodness to Fit for Logistic Regression, assessing Discriminatory Performance of a Binary Logistic Model: Download Logistic Regression for free via rapidshare, mediafire, 4shared, dropBox, uploading, fileserve





Download Logistic Regression: A Self-Learning Text (Statistics for Biology and Health) pdf




free download Logistic Regression





Rabu, 12 Februari 2003

Quantitative Methods in Population Health: Extensions of Ordinary Regression (Wiley Desktop Editions) Reviews

Quantitative Methods in Population Health 0471455059

Book Detail
Edition: 1
Release: 2003-08-04
Publisher: Wiley-Interscience
Binding: Hardcover
ISBN/ASIN: 0471455059
Format: hardcover, kindle, PDF, EPUB

Quantitative Methods in Population Health pdf
Description

Each topic starts with an explanation of the theoretical background necessary to allow full understanding of the technique and to facilitate future learning of more advanced or new methods and software
Explanations are designed to assume as little background in mathematics and statistical theory as possible, except that some knowledge of calculus is necessary for certain parts.
SAS commands are provided for applying the methods. (PROC REG, PROC MIXED, and PROC GENMOD)
All sections contain real life examples, mostly from epidemiologic research
First chapter includes a SAS refresher Download Quantitative Methods in Population Health for free via rapidshare, mediafire, 4shared, dropBox, uploading, fileserve





Download Quantitative Methods in Population Health: Extensions of Ordinary Regression (Wiley Desktop Editions) pdf




free download Quantitative Methods in Population Health





Rabu, 23 Februari 2000

Statistical Learning from a Regression Perspective (Springer Series in Statistics) Pdf

Statistical Learning from a Regression Perspective (Springer Series in Statistics) 0387775005

Book Detail
Edition: 2008
Release: 2008-07-31
Publisher: Springer
Binding: Hardcover
ISBN/ASIN: 0387775005
Format: hardcover, kindle, PDF, EPUB

Statistical Learning from a Regression Perspective (Springer Series in Statistics) pdf
Description

Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression. Among the statistical learning procedures examined are bagging, random forests, boosting, and support vector machines. Response variables may be quantitative or categorical. Real applications are emphasized, especially those with practical implications. One important theme is the need to explicitly take into account asymmetric costs in the fitting process. For example, in some situations false positives may be far less costly than false negatives. Another important theme is to not automatically cede modeling decisions to a fitting algorithm. In many settings, subject-matter knowledge should trump formal fittin Download Statistical Learning from a Regression Perspective (Springer Series in Statistics) for free via rapidshare, mediafire, 4shared, dropBox, uploading, fileserve





Download Statistical Learning from a Regression Perspective (Springer Series in Statistics) pdf




free download Statistical Learning from a Regression Perspective (Springer Series in Statistics)