was an Associate Editor of the (original) (raw)

Statistical Analysis and Data Display Richard M Heiberger Burt Holland

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made.

The statistical software guide '95/96

Computational Statistics & Data Analysis, 1996

Features: ADE (Analysis of Data from Environment) ~s a software package for the Analys~s of Environmental Data on Macintosh. The ADE software package performs bes¢ linear multNanate methods: Principal Component Analys~s (PCA), CorresponrJance Analys,s (COA), Multiple Correspondence Analysis (MCA), Discrlmlnant Aealym, and more recent methods (e,g., between class and within class analyses, instrumental vanables, Canon=cal Correspondence Analysis, Co-=ne~a analys~s, Fuzzy correspondence analysis, Local and Global analyses). The dualdy diagram makes the mathematical background of the methods. Many graphical dispfa~,~ methods are also available.

Tools of the Stats Trade, Part 2

The Saga Continues! Yesssss, the tale of many Ss continues! If you recall, we discussed SPSS and SAS in our previous article. We noted that a main difference between the two is that SPSS offers a more user-friendly graphical interface, good for beginning users, and SAS caters more to the programmer in you. Underlying both packages there is a powerful programming language. You might be thinking, ssssso many packages! Which one should I use when? Should I explore others programs or stick to what I know? Excellent questions! A salient element is the amount of programming flexibility they allow the user. That is, your ability to modify how the program actually works. And it is on this note is that we start our tour today of two more statistical packages: SYSTAT and Stata. These packages offer the convenience of a graphical interface, but they also emphasize the programming component. They are more challenging to learn, but they also can be much more rewarding.

Version 2.0-2 Date 2010/07/30 Title Companion to Applied Regression

2010

Calculates type-II or type-III analysis-of-variance tables for model objects produced by lm, glm, multinom (in the nnet package), polr (in the MASS package), coxph (in the survival package), coxme (in the coxme pckage), svyglm (in the survey package), rlm (in the MASS package), lmer in the lme4 package, lme in the nlme package, and (by the default method) for most models with a linear predictor and asymptotically normal coefficients (see details below). For linear models, F-tests are calculated; for generalized linear models, likelihood-ratio chisquare, Wald chisquare, or F-tests are calculated; for multinomial logit and proportional-odds logit models, likelihood-ratio tests are calculated. Various test statistics are provided for multivariate linear models produced by lm or manova. Partial-likelihood-ratio tests or Wald tests are provided for Cox models. Wald chi-square tests are provided for fixed effects in linear and generalized linear mixed-effects models. Wald chi-square or F tests are provided in the default case.

Statree: An Expert System for Choosing Suitable Statistical Data Processing Techniques

Proceedings of the First Scientific Meeting of the IASE Satellite Conference

The choice of a statistical method suitable for the anlysis of a statistical dataset depends on several parameters: (i) the survey purposes, to be specified in terms of the research hypotheses and the population, (ii) the data formation environment, i.e. the survey and sample designs, the problems faced at the data collection and manipulation stages, (iii) the data measurement scale and the information on and/or the hypotheses about the distribution of variables.

Version 2.0-10 Date 2011/04/06 Title Companion to Applied Regression

2011

An Introduction to Statistical Package for the Social Sciences

2002

This module provides an introduction to statistical analysis, particularly in regard to survey data. Some of the features of the Statistical Package for the Social Sciences (SPSS) are then explained, with reference to a farm forestry survey. Of necessity, this is a brief overview to the highly complex and powerful SPSS package.

Naval Postgraduate School Research. Volume 9, Number 1, February 1999

1999

Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

MSUSTAT—An interactive statistical analysis package

Computational Statistics & Data Analysis, 1985

A great deal of interest has recently centered on development of statistical packages for microcomputers. Generally, users of statistical packages for microcomputers have had to settle for fewer tests, slower processing rates, and cumbersome methods for entering data. "MSUSTAT -An Interactive Statistical Analysis Package," by Richard E. Lund (Montana State University, Bozeman, MT 59717-0002) is reviewed here for numerical accuracy, handling of data, and program documentation.