Kendalls Advanced Theory Of Statistics Classical Inference And The Linear Model

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Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model

Author : Alan Stuart
Publisher : Wiley
ISBN 13 : 9780470689240
Total Pages : 0 pages
Book Rating : 4.6/5 (892 download)

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Book Synopsis Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model by : Alan Stuart

Download or read book Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model written by Alan Stuart and published by Wiley. This book was released on 2010-02-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of statistical theory in the past fifty years is faithfully reflected in the history of the late Sir Maurice Kendall’s volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two volume work (Volume 1, 1943; Volume 2, 1946) and grew steadily, as a single authored work until the late fifties. At that point Alan Stuart became involved and the Advanced Theory was rewritten in three volumes. When Keith Ord joined in the early eighties, Volume 3 became the largest and plans were developed to expand it into a series of monographs called the Kendall's Library of Statistics which would devote a book to each of the modern developments in statistics. This series is well on the way with 5 titles in print and a further 7 on the way. A new volume on Bayesian Inference was also commissioned from Tony O'Hagan and published in 1994 as Volume 2B of the Advanced Theory. This Volume 2A is therefore the completely updated Volume 2 - Classical Inference and Relationship. A new author, Steven Arnold, was invited to join Keith Ord and they have between them produced a work of the highest quality. References have been updated and material revised throughout. A new chapter on the linear model and least squares estimation has been added.

Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model

Author : Alan Stuart
Publisher : Wiley
ISBN 13 : 9780340662304
Total Pages : 912 pages
Book Rating : 4.6/5 (623 download)

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Book Synopsis Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model by : Alan Stuart

Download or read book Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model written by Alan Stuart and published by Wiley. This book was released on 2009-01-27 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of statistical theory in the past fifty years is faithfully reflected in the history of the late Sir Maurice Kendall’s volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two volume work (Volume 1, 1943; Volume 2, 1946) and grew steadily, as a single authored work until the late fifties. At that point Alan Stuart became involved and the Advanced Theory was rewritten in three volumes. When Keith Ord joined in the early eighties, Volume 3 became the largest and plans were developed to expand it into a series of monographs called the Kendall's Library of Statistics which would devote a book to each of the modern developments in statistics. This series is well on the way with 5 titles in print and a further 7 on the way. A new volume on Bayesian Inference was also commissioned from Tony O'Hagan and published in 1994 as Volume 2B of the Advanced Theory. This Volume 2A is therefore the completely updated Volume 2 - Classical Inference and Relationship. A new author, Steven Arnold, was invited to join Keith Ord and they have between them produced a work of the highest quality. References have been updated and material revised throughout. A new chapter on the linear model and least squares estimation has been added.

Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model

Author : Alan Stuart
Publisher : Wiley
ISBN 13 : 9780340662304
Total Pages : 0 pages
Book Rating : 4.6/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model by : Alan Stuart

Download or read book Kendall's Advanced Theory of Statistics, Classical Inference and the Linear Model written by Alan Stuart and published by Wiley. This book was released on 2009-01-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of statistical theory in the past fifty years is faithfully reflected in the history of the late Sir Maurice Kendall’s volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two volume work (Volume 1, 1943; Volume 2, 1946) and grew steadily, as a single authored work until the late fifties. At that point Alan Stuart became involved and the Advanced Theory was rewritten in three volumes. When Keith Ord joined in the early eighties, Volume 3 became the largest and plans were developed to expand it into a series of monographs called the Kendall's Library of Statistics which would devote a book to each of the modern developments in statistics. This series is well on the way with 5 titles in print and a further 7 on the way. A new volume on Bayesian Inference was also commissioned from Tony O'Hagan and published in 1994 as Volume 2B of the Advanced Theory. This Volume 2A is therefore the completely updated Volume 2 - Classical Inference and Relationship. A new author, Steven Arnold, was invited to join Keith Ord and they have between them produced a work of the highest quality. References have been updated and material revised throughout. A new chapter on the linear model and least squares estimation has been added.

Kendall's Advanced Theory of Statistics

Author : Maurice George Kendall
Publisher :
ISBN 13 : 9780470234129
Total Pages : pages
Book Rating : 4.2/5 (341 download)

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Book Synopsis Kendall's Advanced Theory of Statistics by : Maurice George Kendall

Download or read book Kendall's Advanced Theory of Statistics written by Maurice George Kendall and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Kendalls Advanced Theory of Statistics, 3 Volume Set

Author : Alan Stuart
Publisher : Wiley
ISBN 13 : 9780340814932
Total Pages : 250 pages
Book Rating : 4.8/5 (149 download)

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Book Synopsis Kendalls Advanced Theory of Statistics, 3 Volume Set by : Alan Stuart

Download or read book Kendalls Advanced Theory of Statistics, 3 Volume Set written by Alan Stuart and published by Wiley. This book was released on 2009-02-24 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 3-volume set offers the complete, classic Kendall's Advanced Theory of Statistics in a single, value-for-money pack. The latest set includes the brand new second edition of the popular 'Volume 2B: Bayesian Inference', along with the sixth editions of 'Volume 1: Distribution Theory' and 'Volume 2A: Classical Inference and the Linear Model'.

Kendall's Advanced Theory of Statistic 2B

Author : Anthony O'Hagan
Publisher : John Wiley & Sons
ISBN 13 : 0470685697
Total Pages : 500 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Kendall's Advanced Theory of Statistic 2B by : Anthony O'Hagan

Download or read book Kendall's Advanced Theory of Statistic 2B written by Anthony O'Hagan and published by John Wiley & Sons. This book was released on 2010-03-08 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory in the past fifty years is reflected in the history of the late Sir Maurice Kenfall's volumes The Advanced Theory of Statistics. The Advanced Theory began life as a two-volume work, and since its first appearance in 1943, has been an indispensable source for the core theory of classical statistics. With Bayesian Inference, the same high standard has been applied to this important and exciting new body of theory.

Kendall's Advanced Theory of Statistics, Distribution Theory

Author : Alan Stuart
Publisher : John Wiley & Sons
ISBN 13 : 0470665300
Total Pages : 709 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Kendall's Advanced Theory of Statistics, Distribution Theory by : Alan Stuart

Download or read book Kendall's Advanced Theory of Statistics, Distribution Theory written by Alan Stuart and published by John Wiley & Sons. This book was released on 2010-02-22 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory is reflected in the history of the late Sir Maurice Kenfall's volumes, The Advanced Theory of Statistics. This landmark publication began life as a two-volume work and grew steadily as a single-authored work until the 1950s. In this edition, there is new material on skewness and kurtosis, hazard rate distribution, the bootstrap, the evaluation of the multivariate normal integral and ratios of quadratic forms. It also includes over 200 new references, 40 new exercises, and 20 further examples in the main text.

Linear Models in Statistics

Author : Alvin C. Rencher
Publisher : John Wiley & Sons
ISBN 13 : 0470192607
Total Pages : 690 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Linear Models in Statistics by : Alvin C. Rencher

Download or read book Linear Models in Statistics written by Alvin C. Rencher and published by John Wiley & Sons. This book was released on 2008-01-07 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Linear Models

Author : Shein-Chung Chow
Publisher : Routledge
ISBN 13 : 1351468561
Total Pages : 552 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Advanced Linear Models by : Shein-Chung Chow

Download or read book Advanced Linear Models written by Shein-Chung Chow and published by Routledge. This book was released on 2018-05-04 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression model, the analysis of variance model, the analysis of covariance model, and the variance components model.

Stochastic Population Dynamics in Ecology and Conservation

Author : Russell Lande
Publisher : OUP Oxford
ISBN 13 : 9780198525257
Total Pages : 698 pages
Book Rating : 4.5/5 (252 download)

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Book Synopsis Stochastic Population Dynamics in Ecology and Conservation by : Russell Lande

Download or read book Stochastic Population Dynamics in Ecology and Conservation written by Russell Lande and published by OUP Oxford. This book was released on 2003 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Demographic and environmental stochasticity -- 2. Extinction dynamics -- 3. Age structure -- 4. Spatial structure -- 5. Population viability analysis -- 6. Sustainable harvesting -- 7. Species diversity -- 8. Community dynamics.

Algorithmic Learning in a Random World

Author : Vladimir Vovk
Publisher : Springer Science & Business Media
ISBN 13 : 0387250611
Total Pages : 332 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Algorithmic Learning in a Random World by : Vladimir Vovk

Download or read book Algorithmic Learning in a Random World written by Vladimir Vovk and published by Springer Science & Business Media. This book was released on 2005-12-05 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identically distributed (assumption of randomness). Another aim of this unique monograph is to outline some limits of predictions: The approach based on algorithmic theory of randomness allows for the proof of impossibility of prediction in certain situations. The book describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness.

Bayesian Evaluation of Informative Hypotheses

Author : Herbert Hoijtink
Publisher : Springer Science & Business Media
ISBN 13 : 0387096124
Total Pages : 361 pages
Book Rating : 4.3/5 (87 download)

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Book Synopsis Bayesian Evaluation of Informative Hypotheses by : Herbert Hoijtink

Download or read book Bayesian Evaluation of Informative Hypotheses written by Herbert Hoijtink and published by Springer Science & Business Media. This book was released on 2008-09-08 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563–588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.

Introduction to Computer-Intensive Methods of Data Analysis in Biology

Author : Derek A. Roff
Publisher : Cambridge University Press
ISBN 13 : 0521608651
Total Pages : 233 pages
Book Rating : 4.5/5 (216 download)

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Book Synopsis Introduction to Computer-Intensive Methods of Data Analysis in Biology by : Derek A. Roff

Download or read book Introduction to Computer-Intensive Methods of Data Analysis in Biology written by Derek A. Roff and published by Cambridge University Press. This book was released on 2006-05-25 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Predictive Hydrology

Author : Paul Meylan
Publisher : CRC Press
ISBN 13 : 1578087473
Total Pages : 226 pages
Book Rating : 4.5/5 (78 download)

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Book Synopsis Predictive Hydrology by : Paul Meylan

Download or read book Predictive Hydrology written by Paul Meylan and published by CRC Press. This book was released on 2012-03-13 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unusual frequency of hydro-meteorological events in recent decades, often with catastrophic consequences for society and the environment, require new methods for designing water management projects and the structures meant to protect us from natural hazards. These methods and techniques are often based on the statistical modeling techniques of frequency analysis. Predictive Hydrology: A Frequency Analysis Approach is the first book to address both the theoretical concepts and the methodological approaches used in frequency hydrology—spelling out the fundamental methods to consider, providing concise instruction on the techniques that are involved, and including examples and critiques based on practical applications. It explores some of the recent research developments in the field. Published originally in French, this English translation targets students in civil engineering, environmental sciences and technology, hydrology, geography, geology and ecology. This book will also serve as a useful reference not only for teachers and researchers, but for engineering practitioners, who are constantly faced with the problems of handling data, but often find themselves without the appropriate analytical tools.

Space-Time Processing for MIMO Communications

Author : Alex Gershman
Publisher : John Wiley & Sons
ISBN 13 : 0470010037
Total Pages : 388 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Space-Time Processing for MIMO Communications by : Alex Gershman

Download or read book Space-Time Processing for MIMO Communications written by Alex Gershman and published by John Wiley & Sons. This book was released on 2005-08-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Exciting theoretical advances have been complemented by rapid transition of research results to industry products and services, thus creating a vibrant new area. Space-time processing is a broad area, owing in part to the underlying convergence of information theory, communications and signal processing research that brought it to fruition. This book presents a balanced and timely introduction to space-time processing for MIMO communications, including highlights of emerging trends, such as spatial multiplexing and joint transceiver optimization. Includes detailed coverage of wireless channel sounding, modelling, characterization and model validation. Provides state-of-the-art research results on space-time coding, including comprehensive tutorial coverage of orthogonal space-time block codes. Discusses important recent developments in spatial multiplexing, transmit beam-forming, pre-coding and joint transceiver design for the multi-user MIMO downlink using full or partial CSI. Illustrates all theory with numerous examples gleaned from cutting-edge research from around the globe. This valuable resource will appeal to engineers, developers and consultants involved in the design and implementation of space-time processing for MIMO communications. Its accessible format, amply illustrated with real world case studies, contains relevant, detailed advice for postgraduate students and researchers specializing in this field.

Doing Mathematics: Convention, Subject, Calculation, Analogy (2nd Edition)

Author : Martin H Krieger
Publisher : World Scientific
ISBN 13 : 9814571865
Total Pages : 492 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Doing Mathematics: Convention, Subject, Calculation, Analogy (2nd Edition) by : Martin H Krieger

Download or read book Doing Mathematics: Convention, Subject, Calculation, Analogy (2nd Edition) written by Martin H Krieger and published by World Scientific. This book was released on 2015-01-15 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Mathematics discusses some ways mathematicians and mathematical physicists do their work and the subject matters they uncover and fashion. The conventions they adopt, the subject areas they delimit, what they can prove and calculate about the physical world, and the analogies they discover and employ, all depend on the mathematics — what will work out and what won't. The cases studied include the central limit theorem of statistics, the sound of the shape of a drum, the connections between algebra and topology, and the series of rigorous proofs of the stability of matter. The many and varied solutions to the two-dimensional Ising model of ferromagnetism make sense as a whole when they are seen in an analogy developed by Richard Dedekind in the 1880s to algebraicize Riemann's function theory; by Robert Langlands' program in number theory and representation theory; and, by the analogy between one-dimensional quantum mechanics and two-dimensional classical statistical mechanics. In effect, we begin to see 'an identity in a manifold presentation of profiles,' as the phenomenologists would say.This second edition deepens the particular examples; it describe the practical role of mathematical rigor; it suggests what might be a mathematician's philosophy of mathematics; and, it shows how an 'ugly' first proof or derivation embodies essential features, only to be appreciated after many subsequent proofs. Natural scientists and mathematicians trade physical models and abstract objects, remaking them to suit their needs, discovering new roles for them as in the recent case of the Painlevé transcendents, the Tracy-Widom distribution, and Toeplitz determinants. And mathematics has provided the models and analogies, the ordinary language, for describing the everyday world, the structure of cities, or God's infinitude.

The Magnetotelluric Method

Author : Alan D. Chave
Publisher : Cambridge University Press
ISBN 13 : 1107376971
Total Pages : 571 pages
Book Rating : 4.1/5 (73 download)

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Book Synopsis The Magnetotelluric Method by : Alan D. Chave

Download or read book The Magnetotelluric Method written by Alan D. Chave and published by Cambridge University Press. This book was released on 2012-04-26 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: The magnetotelluric method is a technique for imaging the electrical conductivity and structure of the Earth, from the near surface down to the 410 km transition zone and beyond. This book forms the first comprehensive overview of magnetotellurics, from the salient physics and its mathematical representation to practical implementation in the field, data processing, modeling and geological interpretation. Electromagnetic induction in 1-D, 2-D and 3-D media is explored, building from first principles, and with thorough coverage of the practical techniques of time series processing, distortion, numerical modeling and inversion. The fundamental principles are illustrated with a series of case histories describing geological applications. Technical issues, instrumentation and field practices are described for both land and marine surveys. This book provides a rigorous introduction to magnetotellurics for academic researchers and advanced students, and will be of interest to industrial practitioners and geoscientists wanting to incorporate rock conductivity into their interpretations.