Statistical Modelling Using Genstat

Statistical Modelling Using Genstat PDF 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.

Statistical Modelling Using Genstat

Statistical Modelling Using Genstat PDF Author: K. J. McConway
Publisher: Wiley
ISBN: 9780340759851
Category : Mathematics
Languages : en
Pages : 512

Get Book Here

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.

Genstat 5 Release 3 Reference Manual

Genstat 5 Release 3 Reference Manual PDF 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.

Applied Statistics

Applied Statistics PDF 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.

The Guide to GenStat: Statistics - Ch.1 Introduction - Ch.2 Basic statistics and explanatory analysis - Ch.3 Regression analysis - Ch.4 Design and analysis of experiments - Ch.5 REML analysis of mixed models - Ch.6 Multivariante and cluster analysis - Ch.7 Analysis of time series Ch.8 Spatial and temporal modelling

The Guide to GenStat: Statistics - Ch.1 Introduction - Ch.2 Basic statistics and explanatory analysis - Ch.3 Regression analysis - Ch.4 Design and analysis of experiments - Ch.5 REML analysis of mixed models - Ch.6 Multivariante and cluster analysis - Ch.7 Analysis of time series Ch.8 Spatial and temporal modelling PDF Author: Simon Harding
Publisher:
ISBN: 9781852061838
Category : Genstat (computer systems)
Languages : en
Pages : 204

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Book Description


Statistical Methods in Biology

Statistical Methods in Biology PDF Author: S.J. Welham
Publisher: CRC Press
ISBN: 1439808783
Category : Mathematics
Languages : en
Pages : 606

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Book Description
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience. Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R. By the time you reach the end of the book (and online material) you will have gained: A clear appreciation of the importance of a statistical approach to the design of your experiments, A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables, Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly, An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working. The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.

Genstat 5 Reference Manual

Genstat 5 Reference Manual PDF 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.

Statistical Modelling

Statistical Modelling PDF Author: Adriano Decarli
Publisher: Springer Science & Business Media
ISBN: 1461236800
Category : Mathematics
Languages : en
Pages : 352

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Book Description
This volume constitutes the Proceedings of the joint meeting of GLIM89 and the 4th International Workshop on statistical Modelling, held in Trento, Italy, from 17 to 21 July 1989. The meeting aimed to bring together researchers interested in the development and application of generalized linear modelling in GLIM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops held in Innsbruck, perugia and Vienna, and upon the two previous GLIM conferences , GLIM82 and GLIM85. The Proceedings of the latter two being available as numbers 14 and 32 in the springer Verlag series of Lecture Notes in Statistics). Much statistical modelling is carried out using GLIM, as is apparent from many of the papers in these Proceedings; however, the Programme Committee were also keen on encouraging papers which discussed more general modelling techniques. Thus about a third of the papers in this volume are outside the GLIM framework. The Programme Committee specifically requested non-theoretical papers in addition to considering theoretical contributions. Thus there are papers in a wide range of practical areas, such as radio spectral occupancy, comparison of birthweights, intervals between births, accidents of railway workers, genetics, demography, medical trials, the social sciences and insurance. A wide range of theoretical developments are discussed, for example, overdispersion, non-exponential family modelling, novel approaches to analysing contingency tables, random effects models, Kalman Filtering, model checking and extensions of Wedderburn's theoretical underpinning of GLMs.

Introduction to Mixed Modelling

Introduction to Mixed Modelling PDF 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.

An Introduction to Genstat

An Introduction to Genstat PDF Author: Norman Alvey
Publisher:
ISBN:
Category : GENSTAT (Computer program).
Languages : en
Pages : 164

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Book Description
Basic operations: "reading, writing and arithmetic"; Picturing the data; Linear regression analysis; Language: "genstat as she is spoke"; Tabulation; Analysis of designed experiments; Programming: suiting analysis to your problem; Additional facilities for data manipulation; Additional facilities for statitical analysis.

Methods And Models In Statistics: In Honour Of Professor John Nelder, Frs

Methods And Models In Statistics: In Honour Of Professor John Nelder, Frs PDF Author: David J Hand
Publisher: World Scientific
ISBN: 1783260696
Category : Mathematics
Languages : en
Pages : 261

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Book Description
John Nelder was one of the most influential statisticians of his generation, having made an impact on many parts of the discipline. This book contains reviews of some of those areas, written by top researchers. It is accessible to non-specialists, and is noteworthy for its breadth of coverage.