Genstat 5 Release 3 Reference Manual PDF Download
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Author: R. W. Payne
Publisher: Oxford University Press
ISBN: 9780198523123
Category : Mathematics
Languages : en
Pages : 824
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Book Description
Genstat 5 Release 3 is the latest version of a popular statistical system that provides statistical summaries, analysis, data-handling, and graphics capabilities. Genstat--used worldwide on personal computers, workstations, and mainframe computers--has become the system of choice among many statisticians, researchers, and students across the many disciplines that use and apply statistics. This system guide has been rewritten for Release 3 and features new, example-rich chapters on basic statistics and on REML. It also clearly and practically details Release 3's many new capabilities, including the analysis of ordered categorical data, generalized additive models, combination of information in multi-stratum experimental designs, extensions to the REML (residual maximum-likelihood) algorithm, estimation of parameters of statistical distributions, further probability functions, simplified data input, and many new extensions for high resolution graphics, calculations, and manipulation. Both novices and seasoned users of Genstat will welcome this well-written, practical guide to Release 3.
Author: R. W. Payne
Publisher: Oxford University Press
ISBN: 9780198523123
Category : Mathematics
Languages : en
Pages : 824
Get Book Here
Book Description
Genstat 5 Release 3 is the latest version of a popular statistical system that provides statistical summaries, analysis, data-handling, and graphics capabilities. Genstat--used worldwide on personal computers, workstations, and mainframe computers--has become the system of choice among many statisticians, researchers, and students across the many disciplines that use and apply statistics. This system guide has been rewritten for Release 3 and features new, example-rich chapters on basic statistics and on REML. It also clearly and practically details Release 3's many new capabilities, including the analysis of ordered categorical data, generalized additive models, combination of information in multi-stratum experimental designs, extensions to the REML (residual maximum-likelihood) algorithm, estimation of parameters of statistical distributions, further probability functions, simplified data input, and many new extensions for high resolution graphics, calculations, and manipulation. Both novices and seasoned users of Genstat will welcome this well-written, practical guide to Release 3.
Author: N. W. Galwey
Publisher: John Wiley & Sons
ISBN: 047003596X
Category : Mathematics
Languages : en
Pages : 379
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Book Description
Mixed modelling is one of the most promising and exciting areas ofstatistical analysis, enabling more powerful interpretation of datathrough the recognition of random effects. However, many perceivemixed modelling as an intimidating and specialized technique. Thisbook introduces mixed modelling analysis in a simple andstraightforward way, allowing the reader to apply the techniqueconfidently in a wide range of situations. Introduction to Mixed Modelling shows that mixedmodelling is a natural extension of the more familiar statisticalmethods of regression analysis and analysis of variance. In doingso, it provides the ideal introduction to this importantstatistical technique for those engaged in the statistical analysisof data. This essential book: Demonstrates the power of mixed modelling in a wide range ofdisciplines, including industrial research, social sciences,genetics, clinical research, ecology and agriculturalresearch. Illustrates how the capabilities of regression analysis can becombined with those of ANOVA by the specification of a mixedmodel. Introduces the criterion of Restricted Maximum Likelihood(REML) for the fitting of a mixed model to data. Presents the application of mixed model analysis to a widerange of situations and explains how to obtain and interpret BestLinear Unbiased Predictors (BLUPs). Features a supplementary website containing solutions toexercises, further examples, and links to the computer softwaresystems GenStat and R. This book provides a comprehensive introduction to mixedmodelling, ideal for final year undergraduate students,postgraduate students and professional researchers alike. Readerswill come from a wide range of scientific disciplines includingstatistics, biology, bioinformatics, medicine, agriculture,engineering, economics, and social sciences.
Author: Ireland, C.
Publisher: CABI
ISBN: 1780640609
Category :
Languages : en
Pages : 378
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Book Description
Author: E. J. Snell
Publisher: CRC Press
ISBN: 1000109941
Category : Mathematics
Languages : en
Pages : 145
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Book Description
GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis. The great flexibility of GENSTAT is demonstrated in this handbook by analysing the wide range of examples discussed in Applied Statistics - Principles and Examples (Cox and Snell, 1981). GENSTAT programs are listed for each of the examples. Most of the data sets are small but often it is these seemingly small problems which involve the most tricky statistical and computational procedures. This handbook is self-contained although for a full description of the analysis and interpretation it should be used in parallel with Applied Statistics - Principles and Examples.
Author: Les Underhill
Publisher: Juta and Company Ltd
ISBN: 9780702138386
Category : Mathematics
Languages : en
Pages : 364
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Book Description
An introduction to applied statistics, this text assumes a basic understanding of differentiation and integration.
Author: Alain Zuur
Publisher: Springer
ISBN: 0387459723
Category : Science
Languages : en
Pages : 686
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Book Description
This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.
Author: K. J. McConway
Publisher: Wiley
ISBN: 9780340759851
Category : Mathematics
Languages : en
Pages : 512
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Book Description
This core text is a self-contained course in statistics, covering both the general linear model (including regression and analysis of variance) and the generalized linear model. The authors review the prerequisite methods and ideas in a concise and clear way, and the material is application-oriented, with the software package GENSTAT for Windows integrated into the text. The basics of GENSTAT are introduced, then used in conjunction with a review of simple linear regression, moving on to more sophisticated analyses, such as multiple linear regression, analysis of variance, logistic regression and loglinear modelling. The final chapter consists of four data analysis case studies using techniques drawn from the whole of the book.
Author: R. W. Payne
Publisher: Oxford University Press, USA
ISBN:
Category : Mathematics
Languages : en
Pages : 776
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Book Description
Genstat 5 is the latest version of the well-known statistical package Genstat. Written by the same group that devised the package, this volume will be the primary reference source for all users.
Author: New Jersey. Supreme Court
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 796
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Book Description
Author: New Jersey. Supreme Court
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 784
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Book Description
