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2005-8-13 22:09:00

[下载]Vijay Gupta: Statistical Analysis with Excel

Vijay Gupta: Statistical Analysis with Excel

[此贴子已经被作者于2005-8-13 22:13:48编辑过]

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2005-8-13 22:21:00

[下载]Vijay Gupta:Excel For Beginners

Vijay Gupta:Excel For Beginners

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2005-8-13 22:25:00

[下载]Vijay Gupta: EXCEL: BEYOND THE BASICS

Vijay Gupta: EXCEL: BEYOND THE BASICS

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2005-8-13 22:31:00

[下载]Vijay Gupta: Managing & Tabulating Data in Excel

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2005-8-13 22:34:00

[下载]Vijay Gupta: Charting in Excel

Vijay Gupta: Charting in Excel

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2005-8-14 03:34:00
Books are only useful if read and used.
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2005-8-14 03:37:00
Thanks for the free book. I will see whether it is useful.
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2005-8-14 03:39:00

Thanks for the article by Michel Lejeune.

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2005-8-14 23:38:00

[推荐]Richard J. Harris: A Primer of Multivariate Statistics.3nd Edition.Lawrence.

Dr. Richard J. Harris University of New Mexico

Drawing upon over 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. New Features include:

  • many more effective examples;
  • infusions of humor throughout the text;
  • coverage of path analysis and structural equation modeling;
  • computer applications throughout the text;
  • a more detailed discussion of how to construct and interpret linear combinations of sets of independent and dependent variables;
  • coverage of recent developments in univariate statistics: the proposed ban on null hypothesis significance testing (NHST) and the use of three-alternative hypothesis-testing logic as the antidote for NHST's proposed ill's, two simple alternatives to power calculations to determine sample size, and a confidence-interval (CI) procedure that is appropriate when using split-tailed tests and that, if one's a priori predictions of effect size are right, yields narrower CIs than traditional procedures;
  • unique discussion of the distinction between rotations of principal components that keep the rotated principal components mutually uncorrelated and those that keep the profiles of scores that define them mutually orthogonal;
  • expanded coverage of confirmatory factor analysis.

This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

"The coverage of the book is essentially classical multivariate statistics, based on the normal distribution, plus a discussion of factor analysis. This, I think, is a good choice, and fits well with Harris' goal to make the book a primer that presents the concepts a researcher needs to make good use of the computer packages." -- Thomas D. WickensUniversity of California at Los Angeles

Contents

  • Preface.
  • The Forest Before the Trees.
  • Multiple Regression: Predicting One Variable From Many.
  • Hotelling's T2: Tests on One or Two Mean Vectors.
  • Multivariate Analysis of Variance: Differences Among Several Groups on Several Measures.
  • Canonical Correlation: Relationships Between Two Sets of Variables.
  • Principal Component Analysis: Relationships Within a Single Set of Variables.
  • Factor Analysis: The Search for Structure.
  • The Forest Revisited.
  • Digression 1: Finding Maxima and Minima of Polynomials.
  • Digression 2: Matrix Algebra.
  • Digression 3: Solution of Cubic Equations.
  • Appendices:
    • Statistical Tables.
    • Computer Programs Available From the Author.
    • Derivations.

[此贴子已经被作者于2005-8-22 10:20:52编辑过]

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2005-8-15 00:54:00

[下载]Granger, C W J.Investigating Causal Relations by Econometric Models and Cros

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2005-8-15 09:42:00

[em17][em17][em17]

好样的hanszhu,赞一个.

虽然本人对于计量经济学不感兴趣,但是看到论坛上有这么多人为大家奉献资料.

实在是开心啊.

不要理会那些没事就到处乱回帖,喊书贵的,说自己穷的人,

他们没钱是因为他们既没上传过资料,也没宣传过论坛.........

不为别人奉献,别人也没义务为你奉献

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2005-8-15 16:26:00
都是好书,尤其是Franco Peracchi的 Econometrics,我有这本英文原版,比较好懂。
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2005-8-15 17:03:00

不知道楼主的书是怎样下载

我一页一页保存好痛苦啊!!!

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2005-8-15 18:00:00
太贵了!不贵,我也没能力买啊!穷啊!
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2005-8-16 06:41:00
以下是引用zwen在2005-8-15 17:03:03的发言:

不知道楼主的书是怎样下载

我一页一页保存好痛苦啊!!!

1. Left Click the Icon"点击浏览该文件";

2. Click "保存"!

[此贴子已经被作者于2005-8-16 6:44:13编辑过]

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2005-8-16 11:26:00
以下是引用hanszhu在2005-8-16 6:41:22的发言:

1. Left Click the Icon"点击浏览该文件";

2. Click "保存"!

偶的意思是在netlibrary或wiley上怎样下载方便的??

另外能否列个书单给我,about statistics

thx!!!

[此贴子已经被作者于2005-8-16 11:33:11编辑过]

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2005-8-17 09:31:00
I have no idea!

[此贴子已经被作者于2005-8-18 10:04:52编辑过]

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2005-8-18 09:43:00

[推荐]Peter Congdon: Applied Bayesian Modelling

Applied Bayesian Modelling Peter Congdon ISBN: 0-471-48695-7 Hardcover 478 pages April 2003

CDN $155.99 The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS – a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example – explaining fully the choice of model for each particular problem. The book

· Provides a broad and comprehensive account of applied Bayesian modelling.

· Describes a variety of model assessment methods and the flexibility of Bayesian prior specifications.

· Covers many application areas, including panel data models, structural equation and other multivariate structure models, spatial analysis, survival analysis and epidemiology.

· Provides detailed worked examples in WINBUGS to illustrate the practical application of the techniques described. All WINBUGS programs are available from an ftp site.

The book provides a good introduction to Bayesian modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and analysis.

Preface.

The Basis for, and Advantages of, Bayesian Model Estimation via Repeated Sampling.

Hierarchical Mixture Models.

Regression Models.

Analysis of Multi-Level Data.

Models for Time Series.

Analysis of Panel Data.

Models for Spatial Outcomes and Geographical Association.

Structural Equation and Latent Variable Models.

Survival and Event History Models.

Modelling and Establishing Causal Relations: Epidemiological Methods and Models.

Index.

[此贴子已经被作者于2005-8-22 10:25:18编辑过]

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2005-8-18 09:49:00
Understanding Regression Analysis-An Introductory Guide
Larry D. Schroeder:Syracuse University, New York; David L. Sjoquist: Georgia State University, Atlanta Paula E. Stephan: Georgia State University, Atlanta
Description:

Teaches the beginner how to read and understand material containing regression analysis. It does not teach the reader how to do regression analysis; rather, it walks the reader through elementary material using few equations or specialized jargon. The authors present a verbal intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. Thus, this book can be used by anyone who needs to understand the principles of regression analysis.

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2005-8-18 09:52:00

[推荐]Bruce C. Berndt, Ronald J. Evans, Kenneth S. Williams:Gauss and Jacobi Sums

ISBN: 0-471-12807-4 Hardcover 600 pages May 1998 CDN $154.99

Devised in the 19th century, Gauss and Jacobi Sums are classical formulas that form the basis for contemporary research in many of today's sciences. This book offers readers a solid grounding on the origin of these abstract, general theories. Though the main focus is on Gauss and Jacobi, the book does explore other relevant formulas, including Cauchy.

[此贴子已经被作者于2005-8-22 10:29:00编辑过]

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2005-8-21 16:49:00
问楼主有没有林文夫(hayashi  fumio)写的计量经济学阿?
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2005-8-21 22:30:00

[下载]Stephen Kokoska, Daniel Zwillinger.Standard Probability and Statistics Table

CRC Standard Probability and Statistics Tables and Formulae, Student Edition (Paperback) by Stephen Kokoska, Daniel Zwillinger

Editorial Reviews
Book Description Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control.For each type of distribution the authors supply:?definitions?tables?relationships with other distributions, including limiting forms?statistical parameters, such as variance and generating functions?a list of common problems involving the distributionStandard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively. Book Info Presents a clear textual description of topics directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. DLC: Probabilities--Tables. --This text refers to the Hardcover edition.
Product Details
  • Paperback: 225 pages
  • Publisher: CRC Press; Student edition (March 29, 2000)
  • Language: English
  • ISBN: 0849300266
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2005-8-28 10:15:00

[下载]Gary Kooper.Bayesian Econometrics.2003.PDF

Bayesian Econometrics Gary Koop ISBN: 0-470-84567-8 Paperback 374 pages July 2003
US $80.00

Researchers in many fields are increasingly finding the Bayesian approach to statistics to be an attractive one. This book introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require that readers have previous training in econometrics. The focus is on models used by applied economists and the computational techniques necessary to implement Bayesian methods when doing empirical work. Topics covered in the book include the regression model (and variants applicable for use with panel data), time series models, models for qualitative or censored data, nonparametric methods and Bayesian model averaging. The book includes numerous empirical examples and the website associated with it contains data sets and computer programs to help the student develop the computational skills of modern Bayesian econometrics.

Description
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Read Excerpt (PDF)
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2005-9-4 02:45:00
thanx
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2005-9-4 19:07:00

[下载]Simulation Modeling Handbook: A Practical Approach

Simulation Modeling Handbook: A Practical Approach (Hardcover) by Chris Chung, Christopher A. Chung

List Price: $ 149.95

Book Description The use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step procedures for conducting simulation studies. It provides sample simulation project support material, including checklists, data-collection forms, and sample simulation project reports and publications to facilitate practitioners' efforts in conducting simulation modeling and analysis projects. Simulation Modeling Handbook: A Practical Approach has two major advantages over other treatments. First, it is independent of any particular simulation software, allowing readers to use any commercial package or programming language. Second, it was written to insulate practitioners from unnecessary simulation theory that does not focus on their average, practical needs. As the popularity of simulation studies continues to grow, the planning and execution of these projects, more and more engineering and management professionals will be called upon to perform these tasks. With its simple, no-nonsense approach and focus on application rather than theory, this comprehensive and easy-to-understand guide is the ideal vehicle for acquiring the background and skills needed to undertake effective simulation projects.Features·Presents step-by-step procedures for conducting successful simulation modeling and analysis·Addresses every phase of performing simulations, from formulating the problem to presenting study results and recommendations ·Uses approaches applicable regardless of the specific simulation or software used ·Includes a summary of the major simulation software packages and discusses the pros and cons of using general purpose programming languages Book Info Handbook provides step-by-step procedures for conducting simulation studies. Provides sample simulation project support material; including checklists, data-collection forms, and sample reports and publications. For engineering and management professionals. DLC: Digital computer simulation.
Product Details
  • Hardcover: 608 pages
  • Publisher: CRC Press (July 15, 2003)
  • Language: English
  • ISBN: 0849312418

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2005-9-4 22:32:00

why are many just recommendation? I don't see many books for downloading

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2005-9-5 03:10:00

[下载]David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles.Bayesian Approach

Bayesian Approaches to Clinical Trials and Health-Care Evaluation

by David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles

Product Details

Hardcover: 406 pages Publisher: John Wiley & Sons (January 9, 2004) Language: English ISBN: 0471499757

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2005-9-5 09:23:00

[下载]Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro.Disease Mapping

Disease Mapping with WinBUGS and MLwiN Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro ISBN: 0-470-85604-1 Hardcover 292 pages September 2003
CDN $126.99
Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages – such as WinBUGS and MLwiN – are now easy to implement in practice.
  • Provides an introduction to Bayesian and multilevel modelling in disease mapping.
  • Adopts a practical approach, with many detailed worked examples.
  • Includes introductory material on WinBUGS and MLwiN.
  • Discusses three applications in detail – relative risk estimation, focused clustering, and ecological analysis.
  • Suitable for public health workers and epidemiologists with a sound statistical knowledge.
  • Supported by a Website featuring data sets and WinBUGS and MLwiN programs.

Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.

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2005-9-5 10:24:00

[下载]DjVuReader.2.0.0.20.rar

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Over 90 percent of the information in the world is still on paper. Many of those paper documents include color graphics and/or photographs that represent significant invested value. And almost none of that rich content is on the Internet.

That's because scanning such documents and getting them onto a Web site has been problematic at best. At the high resolution necessary to ensure the readability of the text and to preserve the quality of the images, file sizes become far too bulky for acceptable download speed. Reducing resolution to achieve satisfactory download speed means forfeiting quality and legibility. Conventional web formats such as JPEG, GIF, and PNG produce prohibitively large image files at decent resolution. As a result, Web site content developers have been largely unable to leverage existing printed materials. DjVu (pronounced "déjà vu") is a new image compression technology developed since 1996 at AT&T Labs to solve precisely that problem. DjVu allows the distribution on the Internet of very high resolution images of scanned documents, digital documents, and photographs. DjVu allows content developers to scan high-resolution color pages of books, magazines, catalogs, manuals, newspapers, historical or ancient documents, and make them available on the Web.

[此贴子已经被作者于2005-9-8 10:48:17编辑过]

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2005-9-5 10:25:00
haoshua
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