[下载]硕士学位论文 农村居民食物消费结构变动及其对粮食需求影响的实证分析

Genetic Analysis of Complex Traits Using SAS
By: Arnold Saxton
List price: 49.95 USD
312 pages
ISBN: 1-59047-507-0
Publisher: SAS Press
Publication Date: November 2004
Description:
Arnold Saxton, Ph.D., the editor of this volume, is a professor of animal science at the University of Tennessee, Knoxville. During years of research and teaching in statistics and genetics, Dr. Saxton recognized the need for a how-to introduction to SAS computer analysis for complex-trait genetics. He assembled 16 coauthors from around the world to create this unique compilation. Example-rich and experiment-driven, Genetic Analysis of Complex Traits Using SAS demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data. The book guides you through the mix of genetic, statistical, and SAS skills that are needed, enabling you to apply what you've learned to your own experimental data. You'll find this an invaluable resource whether you are a researcher, scientist, graduate student, bioinformatician, or statistician--or any other SAS user interested in joining the highly active and exciting field of genetic analysis.
SAS Products Addressed: Base SAS, SAS/ETS, SAS/GRAPH, SAS/Genetics, SAS/IML, SAS/QC, SAS/STAT
Releases: 9.1.3, 9.1.2, 9.1, 9.0

Statistical Analysis of Management Data Gatignon, Hubert 2003, 280 p., Hardcover ISBN: 1-4020-7315-1

Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields. The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in both statistics and mathematics is needed. This book is not intended as a first introduction to statistics and statistical analysis. Instead it assumes that the student is familiar with basic statistical techniques. The techniques are presented in a fundamental way but in a format accessible to students in a doctoral program, to practicing academicians, and to data analysts.

why chaper 4 to chaper 5 can not open???

Thanks.

怎么下载啊？？楼主

thanks

Franco Peracchi: Econometrics(30.3MB, PDF)

Econometrics

Franco Peracchi

ISBN: 0-471-98764-6

Hardcover

702 pages

February 2001

CDN $181.99

In Econometrics the author has provided a text that bridges the gap between classical econometrics (with an emphasis on linear methods such as OLS, GLS and instrumental variables) and some of the key research areas of the last few years, including sampling problems, nonparametric methods and panel data analysis. Designed for advanced undergraduates and postgraduate students of the subject, Econometrics provides rigorous, yet accessible, coverage of the subject.

Key features include:

* A unified approach to statistical estimation emphasising the analogy (or bootstrap) principle

* An introduction to bootstrap and jackknife methods for assessing the accuracy of an estimator

* Detailed discussion of nonparametric methods for estimating density and regression of functions

* Emphasis on diagnostic procedures and on prediction criteria for evaluating the results fo statistical analysis

* An introduction to linear exponential family and generalized linear models

* A thorough discussion of robustness in statistical sense

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Preface.

Notation.

Regression Models.

Sampling.

Time Series.

Point Estimation.

Statistical Accuracy and Hypothesis Testing.

The Classical Linear Model: Estimation.

Violations of the Ideal Conditions for OLS.

Diagnostics Based on the OLS Estimates.

The Classical Linear Model: Hypothesis Testing.

Asymptotic Properties of Least Squares Methods.

The Instrumental Variables Method.

Linear Models for Panel Data.

Linear Simultaneous Equation Models.

Nonparametric Methods.

M-Estimators.

Adaptive and Robust Regression Estimators.

Models for Discrete Responses.

Models for Truncated and Censored Data.

References.

Appendix A: Review of Linear Algebra.

Appendix B: Methods of Numerical Maximization.

Appendix C: Review of Probability.

Appendix D: Elements of Asymptotic Theory.

Index.

Franco Peracchi is a Professor of Econometrics at Tor Vergata University in Rome. he received an MSc in Econometrics from the London School of Economics in 1983 and a PhD in Economics from Princeton University in 1987. His research interests include econometric theory and methods, nonparametric and robust statistical methods, and labour economics. His work has been published in leading econometric and statistical journals.

穷呀，买不起，可以到图书馆去借来看一下

Biostatistics: A Methodology For the Health Sciences, 2nd Edition Gerald van Belle, Lloyd D. Fisher, Patrick J. Heagerty, Thomas S. Lumley ISBN: 0-471-03185-2 Hardcover 896 pages July 2004 CDN $162.99

"The book would serve as a good springboard for structuring an introductory biostatistics course…" (The American Statistician, August 2005)

"...the book will be a great resource for new readers as well as professionals in the field of health research." (E-STREAMS, May 2005)

"...this comprehensive book should continue to merit consideration by anyone looking for a desktop reference in biostatistics." (Technometrics, May 2005)

“…this second edition adds two new chapters: one on randomised clinical trials, and another on longitudinal data analysis.” (Journal of Applied Statistics, Vol.32, No.3, April 2005)

"Beyond comprehensiveness, the differentiating characteristics of this textbook is the use of medical examples...a text that can be fully appreciated by those seeking a technical statistical reference…" (The Annals of Pharmacotherapy, March 2005)

“…enjoyable reading…approachable and comprehensible…a useful addition to the bookshelf of any biomedical researcher…” (Journal of the Royal Statistical Society, Series A, Vol.168, No.2, March 2005)

“…this updated edition will ensure the ongoing usefulness of this valuable resource…” (Short Book Reviews, Vol.24, No.3, December 2004)

"…chock full of information and careful examination…scientists and researchers who access this information will gain much new insight…" (Electric Review, October/ November 2004)

"The authors have dealt with the subject matter in truly comprehensive terms… scientists and researchers who access this information will gain much new insight..." (Electric Review, July/August 2004)

[此贴子已经被作者于2005-12-18 11:26:41编辑过]

Research Design: Qualitative, Quantitative, and Mixed Methods Approaches by John W. Creswell (Author)