Linear Models in Statistics

Linear Models in Statistics

Author: Alvin C. Rencher

Publisher: John Wiley & Sons

Published: 2008-01-07

Total Pages: 690

ISBN-13: 0470192607

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The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.


Tietz Clinical Guide to Laboratory Tests - E-Book

Tietz Clinical Guide to Laboratory Tests - E-Book

Author: Alan H. B. Wu

Publisher: Elsevier Health Sciences

Published: 2006-06-08

Total Pages: 1857

ISBN-13: 1437719872

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This new edition of Norbert Tietz's classic handbook presents information on common tests as well as rare and highly specialized tests and procedures - including a summary of the utility and merit of each test. Biological variables that may affect test results are discussed, and a focus is placed on reference ranges, diagnostic information, clinical interpretation of laboratory data, interferences, and specimen types. New and updated content has been added in all areas, with over 100 new tests added. - Tests are divided into 8 main sections and arranged alphabetically. - Each test includes necessary information such as test name (or disorder) and method, specimens and special requirements, reference ranges, chemical interferences and in vivo effects, kinetic values, diagnostic information, factors influencing drug disposition, and clinical comments and remarks. - The most current and relevant tests are included; outdated tests have been eliminated. - Test index (with extensive cross references) and disease index provide the reader with an easy way to find necessary information - Four new sections in key areas (Preanalytical, Flow Cytometry, Pharmacogenomics, and Allergy) make this edition current and useful. - New editor Alan Wu, who specializes in Clinical Chemistry and Toxicology, brings a wealth of experience and expertise to this edition. - The Molecular Diagnostics section has been greatly expanded due to the increased prevalence of new molecular techniques being used in laboratories. - References are now found after each test, rather than at the end of each section, for easier access.


Introduction to Probability and Statistics Using R

Introduction to Probability and Statistics Using R

Author: G. Jay Kerns

Publisher: Lulu.com

Published: 2010-01-10

Total Pages: 388

ISBN-13: 0557249791

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This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.


Hyperbolic Manifolds and Discrete Groups

Hyperbolic Manifolds and Discrete Groups

Author: Michael Kapovich

Publisher: Springer Science & Business Media

Published: 2009-08-04

Total Pages: 486

ISBN-13: 0817649131

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Hyperbolic Manifolds and Discrete Groups is at the crossroads of several branches of mathematics: hyperbolic geometry, discrete groups, 3-dimensional topology, geometric group theory, and complex analysis. The main focus throughout the text is on the "Big Monster," i.e., on Thurston’s hyperbolization theorem, which has not only completely changes the landscape of 3-dimensinal topology and Kleinian group theory but is one of the central results of 3-dimensional topology. The book is fairly self-contained, replete with beautiful illustrations, a rich set of examples of key concepts, numerous exercises, and an extensive bibliography and index. It should serve as an ideal graduate course/seminar text or as a comprehensive reference.


Diagnosis and Treatment of Aortic Diseases

Diagnosis and Treatment of Aortic Diseases

Author: C.A. Nienaber

Publisher: Springer Science & Business Media

Published: 1999-03-31

Total Pages: 300

ISBN-13: 9780792355175

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Describes recent surgical techniques developed to improve prognosis in aortic diseases, and discusses recent interventional strategies such as endovascular stent-graft placement and non-surgical reconstruction of the aorta. Chapters deal with aortic dissection, aortic aneurysm, surgical treatment of aortic aneurysms and dissections, inherited disorders of the aorta, aortic trauma, aortitis, and etiology and pathology of aortic malformations. Each chapter is organized in a similar fashion, with information on demographic aspects, pathology, clinical presentation, and diagnostic and therapeutic approaches. Annotation copyrighted by Book News, Inc., Portland, OR


Luboml

Luboml

Author: Berl Kagan

Publisher: KTAV Publishing House, Inc.

Published: 1997

Total Pages: 454

ISBN-13: 9780881255805

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The story of the former Polish-Jewish community (shtetl) of Luboml, Wołyń, Poland. Its Jewish population of some 4,000, dating back to the 14th century, was exterminated by the occupying German forces and local collaborators in October, 1942. Luboml was formerly known as Lyuboml, Volhynia, Russia and later Lyuboml, Volyns'ka, Ukraine. It was also know by its Yiddish name: Libivne.


Electric and Magnetic Fields

Electric and Magnetic Fields

Author: R. Belmans

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 380

ISBN-13: 1461519616

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This book contains the edited versions of the papers presented at the Second International Workshop on Electric and Magnetic Fields held at the Katholieke Universiteit van Leuven (Belgium) in May 1994. This Workshop deals with numerical solutions of electromagnetic problems in real life applications. The topics include coupled problems (thermal, mechanical, electric circuits), CAD & CAM applications, 3D eddy current and high frequency problems, optimisation and application oriented numerical problems. This workshop was organised jointly by the AIM (Association of Engineers graduated from de Montefiore Electrical Institute) together with the Departments of Electrical Engineering of the Katholieke Universiteit van Leuven (Prof. R. Belmans), the University of Gent (Prof. J. Melkebbek) and the University of Liege (Prof. W. Legros). These laboratories are working together in the framework of the Pole d'Attraction Interuniversitaire - Inter-University Attractie-Pole 51 - on electromagnetic systems led by the University of Liege and the research work they perform covers most of the topics of the Workshop. One of the principal aims of this Workshop was to provide a bridge between the electromagnetic device designers, mainly industrialists, and the electromagnetic field computation developers. Therefore, this book contains a continuous spectrum of papers from application of electromagnetic models in industrial design to presentation of new theoretical developments.


Mathematical Foundations of Infinite-Dimensional Statistical Models

Mathematical Foundations of Infinite-Dimensional Statistical Models

Author: Evarist Giné

Publisher: Cambridge University Press

Published: 2021-03-25

Total Pages: 706

ISBN-13: 1009022784

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In nonparametric and high-dimensional statistical models, the classical Gauss–Fisher–Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, approximation and wavelet theory, and the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In a final chapter the theory of adaptive inference in nonparametric models is developed, including Lepski's method, wavelet thresholding, and adaptive inference for self-similar functions. Winner of the 2017 PROSE Award for Mathematics.


Villiers Singles Improvements Handbook

Villiers Singles Improvements Handbook

Author: John Wood

Publisher:

Published: 2013-11-10

Total Pages: 174

ISBN-13: 9781484155547

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The Villiers Singles Improvements Handbook and its supporting website www.villiers.info provide the DIY enthusiast with everything they need to maintain and improve their Villiers motor. The theory and practice of getting results are fully explained with diagrams photos and instructions. THis book does not contain exploded engine diagrams, the web site provides those. 170 pages including contents and index.