Symbolic Computation For Statistical Inference

Download Symbolic Computation For Statistical Inference full books in PDF, epub, and Kindle. Read online Symbolic Computation For Statistical Inference ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Symbolic Computation for Statistical Inference

Author : David F. Andrews
Publisher : Oxford University Press, USA
ISBN 13 : 9780198507055
Total Pages : 184 pages
Book Rating : 4.5/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Symbolic Computation for Statistical Inference by : David F. Andrews

Download or read book Symbolic Computation for Statistical Inference written by David F. Andrews and published by Oxford University Press, USA. This book was released on 2000 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numerical computation and graphical display, but equal steps forward are now being made in the area of symbolic computing: the use of computer languages and procedures to manipulate expressions. This allows researchers to compute an algebraic expression, rather than evaluate the expression numerically over a given range. This book summarizes a decade of research into the use of symbolic computation applied to statistical inference problems. It shows the considerable potential of the subject to automate statistical calculation, leaving researchers free to concentrate on new concepts. Starting with the development of algorithms applied to standard undergraduate problems, the book then goes on to develop increasingly more powerful tools. Later chapters then discuss the application of these algorithms to different areas of statistical methodology.

Data Analysis from Statistical Foundations

Author : Donald Alexander Stuart Fraser
Publisher : Nova Publishers
ISBN 13 : 9781560729686
Total Pages : 442 pages
Book Rating : 4.7/5 (296 download)

DOWNLOAD NOW!

Book Synopsis Data Analysis from Statistical Foundations by : Donald Alexander Stuart Fraser

Download or read book Data Analysis from Statistical Foundations written by Donald Alexander Stuart Fraser and published by Nova Publishers. This book was released on 2001 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis from Statistical Foundations

Tensor Methods in Statistics

Author : Peter McCullagh
Publisher : Courier Dover Publications
ISBN 13 : 0486823784
Total Pages : 308 pages
Book Rating : 4.4/5 (868 download)

DOWNLOAD NOW!

Book Synopsis Tensor Methods in Statistics by : Peter McCullagh

Download or read book Tensor Methods in Statistics written by Peter McCullagh and published by Courier Dover Publications. This book was released on 2018-07-18 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: A pioneering monograph on tensor methods applied to distributional problems arising in statistics, this work begins with the study of multivariate moments and cumulants. An invaluable reference for graduate students and professional statisticians. 1987 edition.

Practical Aspects of Declarative Languages

Author : Marco Gavanelli
Publisher : Springer
ISBN 13 : 331928228X
Total Pages : 187 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Practical Aspects of Declarative Languages by : Marco Gavanelli

Download or read book Practical Aspects of Declarative Languages written by Marco Gavanelli and published by Springer. This book was released on 2016-01-08 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 18th International Symposium on Practical Aspects of Declarative Languages, PADL 2016, held in St. Petersburg, FL, USA, in January 2016. The 11 revised papers presented were carefully reviewed and selected from 17 initial submissions for inclusion in the book. PADL is a forum for researchers and practitioners to present original work emphasizing novel applications and implementation techniques for all forms of declarative concepts, including, functional, logic, constraints, etc.

Symbolic Data Analysis

Author : Lynne Billard
Publisher : John Wiley & Sons
ISBN 13 : 0470090170
Total Pages : 330 pages
Book Rating : 4.4/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Symbolic Data Analysis by : Lynne Billard

Download or read book Symbolic Data Analysis written by Lynne Billard and published by John Wiley & Sons. This book was released on 2012-05-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of computers, very large datasets have become routine. Standard statistical methods don’t have the power or flexibility to analyse these efficiently, and extract the required knowledge. An alternative approach is to summarize a large dataset in such a way that the resulting summary dataset is of a manageable size and yet retains as much of the knowledge in the original dataset as possible. One consequence of this is that the data may no longer be formatted as single values, but be represented by lists, intervals, distributions, etc. The summarized data have their own internal structure, which must be taken into account in any analysis. This text presents a unified account of symbolic data, how they arise, and how they are structured. The reader is introduced to symbolic analytic methods described in the consistent statistical framework required to carry out such a summary and subsequent analysis. Presents a detailed overview of the methods and applications of symbolic data analysis. Includes numerous real examples, taken from a variety of application areas, ranging from health and social sciences, to economics and computing. Features exercises at the end of each chapter, enabling the reader to develop their understanding of the theory. Provides a supplementary website featuring links to download the SODAS software developed exclusively for symbolic data analysis, data sets, and further material. Primarily aimed at statisticians and data analysts, Symbolic Data Analysis is also ideal for scientists working on problems involving large volumes of data from a range of disciplines, including computer science, health and the social sciences. There is also much of use to graduate students of statistical data analysis courses.

Algebraic Methods in Statistics and Probability

Author : Marlos A. G. Viana
Publisher : American Mathematical Soc.
ISBN 13 : 0821826875
Total Pages : 354 pages
Book Rating : 4.8/5 (218 download)

DOWNLOAD NOW!

Book Synopsis Algebraic Methods in Statistics and Probability by : Marlos A. G. Viana

Download or read book Algebraic Methods in Statistics and Probability written by Marlos A. G. Viana and published by American Mathematical Soc.. This book was released on 2001 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 23 papers report recent developments in using the technique to help clarify the relationship between phenomena and data in a number of natural and social sciences. Among the topics are a coordinate-free approach to multivariate exponential families, some rank-based hypothesis tests for covariance structure and conditional independence, deconvolution density estimation on compact Lie groups, random walks on regular languages and algebraic systems of generating functions, and the extendibility of statistical models. There is no index. c. Book News Inc.

Analysis of Longitudinal Data

Author : Peter Diggle
Publisher : Oxford University Press, USA
ISBN 13 : 0199676755
Total Pages : 397 pages
Book Rating : 4.1/5 (996 download)

DOWNLOAD NOW!

Book Synopsis Analysis of Longitudinal Data by : Peter Diggle

Download or read book Analysis of Longitudinal Data written by Peter Diggle and published by Oxford University Press, USA. This book was released on 2013-03-14 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.

Celebrating Statistics

Author : A. C. Davison
Publisher : Oxford University Press on Demand
ISBN 13 : 0198566549
Total Pages : 319 pages
Book Rating : 4.1/5 (985 download)

DOWNLOAD NOW!

Book Synopsis Celebrating Statistics by : A. C. Davison

Download or read book Celebrating Statistics written by A. C. Davison and published by Oxford University Press on Demand. This book was released on 2005-09-22 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sir 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.

Time Series Analysis by State Space Methods

Author : James Durbin
Publisher : Oxford University Press
ISBN 13 : 019964117X
Total Pages : 369 pages
Book Rating : 4.1/5 (996 download)

DOWNLOAD NOW!

Book Synopsis Time Series Analysis by State Space Methods by : James Durbin

Download or read book Time Series Analysis by State Space Methods written by James Durbin and published by Oxford University Press. This book was released on 2012-05-03 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive treatment of the state space approach to time series analysis. A distinguishing feature of state space time series models is that observations are regarded as made up of distinct components, which are each modelled separately.

Statistical Models

Author : A. C. Davison
Publisher : Cambridge University Press
ISBN 13 : 1139437410
Total Pages : pages
Book Rating : 4.1/5 (394 download)

DOWNLOAD NOW!

Book Synopsis Statistical Models by : A. C. Davison

Download or read book Statistical Models written by A. C. Davison and published by Cambridge University Press. This book was released on 2003-08-04 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web.

Principles of Multivariate Analysis

Author : Wojtek Krzanowski
Publisher : OUP Oxford
ISBN 13 : 0191053945
Total Pages : 609 pages
Book Rating : 4.1/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Principles of Multivariate Analysis by : Wojtek Krzanowski

Download or read book Principles of Multivariate Analysis written by Wojtek Krzanowski and published by OUP Oxford. This book was released on 2000-09-28 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for students coming to the subject for the first time. The author's emphasis is problem-orientated and he is at pains to stress geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for a practical understanding of the techniques are clearly indicated so that they may be skipped by the non-specialist. Discrete and mixed variable techniques are presented as well as continuous variable techniques to give a comprehensive coverage of the subject. This updated edition includes a new appendix which traces developments that have taken place in the years since the publication of the first edition and which clarifies some issues raised by readers of the original text. References to about 60 recent books and articles supplement the material in this appendix. Overall, this volume provides an up-to-date and readable practical account of the subject, both for students of statistics and for research workers in subjects as diverse as anthropology, education, industry, medicine and taxonomy. The new edition includes a survey of the most recent developments in the subject.

Statistics for Engineers

Author : Jim Morrison
Publisher : John Wiley & Sons
ISBN 13 : 9780470746431
Total Pages : 192 pages
Book Rating : 4.7/5 (464 download)

DOWNLOAD NOW!

Book Synopsis Statistics for Engineers by : Jim Morrison

Download or read book Statistics for Engineers written by Jim Morrison and published by John Wiley & Sons. This book was released on 2009-06-15 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated. This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry. Inside, you will find coverage on: the nature of variability, describing the use of formulae to pin down sources of variation; engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product; production, discussing the use of control charts, and; management and training, including directing and controlling the quality function. The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context. Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.

Statistical Modelling in GLIM 4

Author : Murray A. Aitkin
Publisher : Oxford University Press, USA
ISBN 13 : 9780198524137
Total Pages : 584 pages
Book Rating : 4.5/5 (241 download)

DOWNLOAD NOW!

Book Synopsis Statistical Modelling in GLIM 4 by : Murray A. Aitkin

Download or read book Statistical Modelling in GLIM 4 written by Murray A. Aitkin and published by Oxford University Press, USA. This book was released on 2005 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

The Statistical Evaluation of Medical Tests for Classification and Prediction

Author : Margaret Sullivan Pepe
Publisher :
ISBN 13 : 0198509847
Total Pages : 319 pages
Book Rating : 4.1/5 (985 download)

DOWNLOAD NOW!

Book Synopsis The Statistical Evaluation of Medical Tests for Classification and Prediction by : Margaret Sullivan Pepe

Download or read book The Statistical Evaluation of Medical Tests for Classification and Prediction written by Margaret Sullivan Pepe and published by . This book was released on 2003 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and the Receiver Operating Characteristic Curve that is commonly used for continuous and ordinal valued tests. Statistical procedures are presented for estimating and comparing them. Regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors are presented. This book presents many worked examples of real data and should be of interest to practicing statisticians or quantitative researchers involved in the development of tests for classification or prediction in medicine.

Nonlinear Models in Medical Statistics

Author : James K. Lindsey
Publisher :
ISBN 13 : 9780198508120
Total Pages : 298 pages
Book Rating : 4.5/5 (81 download)

DOWNLOAD NOW!

Book Synopsis Nonlinear Models in Medical Statistics by : James K. Lindsey

Download or read book Nonlinear Models in Medical Statistics written by James K. Lindsey and published by . This book was released on 2001 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing them to generalized linear models, descriptions of data handling and formula definition and a summary of the principal types of nonlinear regression formulae. There is an emphasis on techniques for non-normal data. Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and moleuclar genetics.

Applied Asymptotics

Author : A. R. Brazzale
Publisher : Cambridge University Press
ISBN 13 : 9780521847032
Total Pages : 256 pages
Book Rating : 4.8/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Applied Asymptotics by : A. R. Brazzale

Download or read book Applied Asymptotics written by A. R. Brazzale and published by Cambridge University Press. This book was released on 2007-05-31 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: First practical treatment of small-sample asymptotics, enabling practitioners to apply new methods with confidence.

Fundamental Statistical Inference

Author : Marc S. Paolella
Publisher : John Wiley & Sons
ISBN 13 : 1119417872
Total Pages : 584 pages
Book Rating : 4.1/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Fundamental Statistical Inference by : Marc S. Paolella

Download or read book Fundamental Statistical Inference written by Marc S. Paolella and published by John Wiley & Sons. This book was released on 2018-06-19 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on approach to statistical inference that addresses the latest developments in this ever-growing field This clear and accessible book for beginning graduate students offers a practical and detailed approach to the field of statistical inference, providing complete derivations of results, discussions, and MATLAB programs for computation. It emphasizes details of the relevance of the material, intuition, and discussions with a view towards very modern statistical inference. In addition to classic subjects associated with mathematical statistics, topics include an intuitive presentation of the (single and double) bootstrap for confidence interval calculations, shrinkage estimation, tail (maximal moment) estimation, and a variety of methods of point estimation besides maximum likelihood, including use of characteristic functions, and indirect inference. Practical examples of all methods are given. Estimation issues associated with the discrete mixtures of normal distribution, and their solutions, are developed in detail. Much emphasis throughout is on non-Gaussian distributions, including details on working with the stable Paretian distribution and fast calculation of the noncentral Student's t. An entire chapter is dedicated to optimization, including development of Hessian-based methods, as well as heuristic/genetic algorithms that do not require continuity, with MATLAB codes provided. The book includes both theory and nontechnical discussions, along with a substantial reference to the literature, with an emphasis on alternative, more modern approaches. The recent literature on the misuse of hypothesis testing and p-values for model selection is discussed, and emphasis is given to alternative model selection methods, though hypothesis testing of distributional assumptions is covered in detail, notably for the normal distribution. Presented in three parts—Essential Concepts in Statistics; Further Fundamental Concepts in Statistics; and Additional Topics—Fundamental Statistical Inference: A Computational Approach offers comprehensive chapters on: Introducing Point and Interval Estimation; Goodness of Fit and Hypothesis Testing; Likelihood; Numerical Optimization; Methods of Point Estimation; Q-Q Plots and Distribution Testing; Unbiased Point Estimation and Bias Reduction; Analytic Interval Estimation; Inference in a Heavy-Tailed Context; The Method of Indirect Inference; and, as an appendix, A Review of Fundamental Concepts in Probability Theory, the latter to keep the book self-contained, and giving material on some advanced subjects such as saddlepoint approximations, expected shortfall in finance, calculation with the stable Paretian distribution, and convergence theorems and proofs.