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Author: Murray A. Aitkin
Publisher: Oxford University Press, USA
Published: 2005
Total Pages: 584
ISBN-13: 9780198524137
DOWNLOAD EBOOK"This text examines the theory of statistical modelling with generalised linear models. It also looks at applications of the theory to practical problems, using the GLIM4 package"--Provided by publisher.
Author: Murray A. Aitkin
Publisher: Oxford University Press
Published: 1989
Total Pages: 390
ISBN-13: 9780198522034
DOWNLOAD EBOOKThe analysis of data by statistical modelling is becoming increasingly important. This book presents both the theory of statistical modelling with generalized linear models and the application of the theory to practical problems using the widely available package GLIM. The authors have takenpains to integrate the theory with many practical examples which illustrate the value of interactive statistical modelling. Throughout the book theoretical issues of formulating and simplifying models are discussed, as are problems of validating the models by the detection of outliers and influential observations. The book arises from short courses given at the University of Lancaster's Centre for Applied Statistics, with an emphasis on practical programming in GLIM and numerous examples. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential andWeibull distributions. A feature of the book is a detailed discussion of survival analysis. Statisticians working in a wide range of fields, including biomedical and social sciences, will find this book an invaluable desktop companion to aid their statistical modelling. It will also provide a text for students meeting the ideas of statistical modelling for the first time.
Author: Ludwig Fahrmeir
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 238
ISBN-13: 1461229529
DOWNLOAD EBOOKThis volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992. The meeting aimed to bring together researchers interested in the development and applications of generalized linear modelling in GUM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops and GUM conferences. Previous GUM conferences were held in London and Lancaster, and a joint GUM Conference/4th Modelling Workshop was held in Trento. (The Proceedings of previous GUM conferences/Statistical Modelling Workshops are available as numbers 14 , 32 and 57 of the Springer Verlag series of Lecture Notes in Statistics). Workshops have been organized in Innsbruck, Perugia, Vienna, Toulouse and Utrecht. (Proceedings of the Toulouse Workshop appear as numbers 3 and 4 of volume 13 of the journal Computational Statistics and Data Analysis). Much statistical modelling is carried out using GUM, as is apparent from many of the papers in these Proceedings. Thus the Programme Committee were also keen on encouraging papers which addressed problems which are not only of practical importance but which are also relevant to GUM or other software development. The Programme Committee requested both theoretical and applied papers. Thus there are papers in a wide range of practical areas, such as ecology, breast cancer remission and diabetes mortality, banking and insurance, quality control, social mobility, organizational behaviour.
Author: Adriano Decarli
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 352
ISBN-13: 1461236800
DOWNLOAD EBOOKThis 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.
Author: Peter D. Congdon
Publisher: CRC Press
Published: 2019-09-16
Total Pages: 580
ISBN-13: 1498785913
DOWNLOAD EBOOKAn intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website
Author: Peter Diggle
Publisher: Oxford University Press, USA
Published: 2013-03-14
Total Pages: 397
ISBN-13: 0199676755
DOWNLOAD EBOOKThis second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.
Author: Claude A. Pruneau
Publisher: Cambridge University Press
Published: 2017-10-05
Total Pages: 719
ISBN-13: 1108416780
DOWNLOAD EBOOKA comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods. This book provides a valuable resource for advanced undergraduate and graduate students, as well as practitioners in the fields of experimental particle physics, nuclear physics and astrophysics.
Author: A. C. Davison
Publisher: Oxford University Press, USA
Published: 2005-09-22
Total Pages: 319
ISBN-13: 0198566549
DOWNLOAD EBOOKSir David Cox is among the most important statisticians of the past half-century. He has made pioneering and highly influential contributions to a uniquely wide range of topics in statistics and applied probability. His teaching has inspired generations of students, and many well-known researchers have begun as his graduate students or have worked with him at early stages of their careers. Legions of others have been stimulated and enlightened by the clear, concise, and directexposition exemplified by his many books, papers, and lectures. This book presents a collection of chapters by major statistical researchers who attended a conference held at the University of Neuchatel in July 2004 to celebrate David Cox's 80th birthday. Each chapter is carefully crafted and collectivelypresent current developments across a wide range of research areas from epidemiology, environmental science, finance, computing and medicine.Edited by Anthony Davison, Ecole Polytechnique Federale de Lausanne, Switzerland; Yadolah Dodge, University of Neuchatel, Switzerland; and N. Wermuth, Goteborg University, Sweden, with chapters by Ole E. Barndorff-Nielsen, Sarah C. Darby, Christina Davies, Peter J. Diggle, David Firth, Peter Hall, Valerie S. Isham, Kung-Yee Liang, Peter McCullagh, Paul McGale, Amilcare Porporato, Nancy Reid, Brian D. Ripley, Ignacio Rodriguez-Iturbe, Andrea Rotnitzky, Neil Shephard, Scott L. Zeger, andincluding a brief biography of David Cox, this book is suitable for students of statistics, epidemiology, environmental science, finance, computing and medicine, and academic and practising statisticians.
Author: Paul H.C. Eilers
Publisher: Cambridge University Press
Published: 2021-03-18
Total Pages: 213
ISBN-13: 1108482953
DOWNLOAD EBOOKThis user guide presents a popular smoothing tool with practical applications in machine learning, engineering, and statistics.
Author: F.M. Brouwer
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 226
ISBN-13: 9400936133
DOWNLOAD EBOOKIn the mid 1980's - while a student at the department of econometrics at the Free University - I became an assistant at the Institute for Environmental Studies (IvM) of this university. My main task was assisting with the com putational aspects of the project 'an integrated environmental model: a case study in the Markiezaat area'. A number of methodological problems were for mulated during the operationalization phase of that project, such as the need to develop systematically an integrated model design and to look for means of handling different sources of information. Prof. Dr. P. Nijkamp of the Department of Regional Economics and Drs. L. Hordijk - at that time leader of the economic-technological research group at the IvM - therefore initiated a project proposal to be supported by the Netherlands Organisation for the Advancement of Pure Research (ZWO). Meanwhile I became an assistant to Prof. Dr. P. Nijkamp, surveying qualita ti ve statistical developments in the field of regional inequa li ty analysis. This inventory has been shown to be a relevant basis for the preparation of this book. In spring 1982 I began working at IvM on the above project on integrated environmental modelling.
