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Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 3.19

Statistical Physics I discusses the fundamentals of equilibrium statistical mechanics, focussing on basic physical aspects. No previous knowledge of thermodynamics or the molecular theory of gases is assumed. Illustrative examples based on simple materials and photon systems elucidate the central ideas and methods.

A lucid presentation of statistical physics and thermodynamics which develops from the general principles to give a large number of applications of the theory.

To reach reasoned decisions involving issues of public policy and law, statistical data and studies often need to be assessed for their accuracy and relevance. This two-volume set presents a unique and comprehensive treatment of statistical methods in legal practice. Designed to serve as a text or reference, the book presents basic concepts of probability and statistical inference applied to actual data arising from court cases concerning discrimination, trademark evidence, environmental and occupational exposure to toxic chemicals, and related health and safety topics. Substantial attention is devoted to assessing the strengths and weaknesses of statistical studies, with examples illustrating why some health studies may not have been properly designed at the outset and how actual decisions might have been reversed had more appropriate analysis of data been available to the court. This book will be of interest to lawyers and other practitioners of the law, as well as to students and researchers in the areas of statistics, statistical economics, political science, and law.

Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature. Explanations of their properties are frequently presented in mathematical and theoretical language. This well-established text gives readers a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory. By applying these methods to actual data, Selvin reveals the strengths and weaknesses of each analytic approach. He combines techniques from the fields of statistics, biostatistics, demography and epidemiology to present a comprehensive overview that does not require computational details of the statistical techniques described.For the Third Edition, Selvin took out some old material (e.g. the section on rarely used cross-over designs) and added new material (e.g. sections on frequently used contingency table analysis). Throughout the text he enriched existing discussions with new elements, including the analysis of multi-level categorical data and simple, intuitive arguments that exponential survival times cause the hazard function to be constant. He added a dozen new applied examples to illustrate such topics as the pitfalls of proportional mortality data, the analysis of matched pair categorical data, and the age-adjustment of mortality rates based on statistical models. The most important new feature is a chapter on Poisson regression analysis. This essential statistical tool permits the multivariable analysis of rates, probabilities and counts.

Statistical Fluid Mechanics: Mechanics of Turbulence, Vol. 2 [hardcover] Monin, Andrei S.,Yaglom, A. M.,Lumley, J. L. [Apr 15, 1975]

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.

"Statistical Mechanics" is the extended version of McQuarrie's earlier text - "Statistical Thermodynamics" (USB 1984). This text (previously published by Longman Education) is an accessible introduction to the subject. It contains a large number of problems at the end of each chapter to help students understand the material and to introduce them to selected extensions.

This book explores a variety of graphical displays that are useful for visualizing multivariate data. The basic problem involves representing information that varies along several dimensions when the display medium (a computer screen or printed page) is inherently two-dimensional. In order to address this problem, William G Jacoby introduces the concept of a `data space′.

Statistical Methods for SPC and TQM sets out to fill the gap for those in statistical process control (SPC) and total quality management (TQM) who need a practical guide to the logical basis of data presentation, control charting, and capability indices.Statistical theory is introduced in a practical context, usually by way of numerical examples. Several methods familiar to statisticians have been simplified to make them more accessible. Suitable tabulations of these functions are included; in several cases, effective and simple approximations are offered.ContentsData Collection and Graphical SummariesNumerical Data Summaries-Location and DispersionProbability and DistributionSampling, Estimation, and ConfidenceSample Tests of Hypothesis; "Significance Tests"Control Charts for Process Management and ImprovementControl Charts for Average and VariationControl Charts for "Single-Valued" ObservationsControl Charts for Attributes and EventsControl Charts: Problems and Special CasesCusum MethodsProcess Capability-Attributes, Events, and Normally Distributed DataCapability; Non-Normal DistributionsEvaluating the Precision of a Measurement System (Gauge Capability)Getting More from Control Chart DataSPC in "Non-Product" ApplicationsAppendices

This rigorous treatment of statistical thermodynamics features a general discussion together with many applications which clarify formal developments. Chemical equilibria, quantum statistics, plymers and imperfect gases are covered. An extensive collection of challenging problems and a bibliography conclude each chapter. Throughout this volume, the emphasis is on systems in which the intermolecular forces can be neglected.

This completely revised edition of the classical book on Statistical Mechanics covers the basic concepts of equilibrium and non-equilibrium statistical physics. In addition to a deductive approach to equilibrium statistics and thermodynamics based on a single hypothesis this book treats the most important elements of non-equilibrium phenomena. Intermediate calculations are presented in complete detail. Problems at the end of each chapter help students to consolidate their understanding of the material. Beyond the fundamentals, this text demonstrates the breadth of the field and its great variety of applications.

* The emphasis of this book is on the thoughtful selection of methods and critical interpretation of results, rather than on competition.

A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of important concepts are based on providing intuition using illustrative figures and numerical examples. The first part shows how statistical methods are used in diverse fields in answering important questions, while part two covers descriptive statistics and considers the organisation and summarisation of data. Parts three to five cover probability, statistical inference, and more advanced statistical techniques.

Critical analysis of the use of statistical inference in social and behavioural research, its proper role, logic, and its abuse. Argues that ignorance and misunderstanding of the role of statistical inference has had a detrimental effect upon research in the field. Points the way to an appropriate appreciation of the part played by quantification in these disciplines. Examines the significance test versus interval estimation and evaluates Neyman-Pearson, Fisherian, Bayesian, and Likelihood inference. Presents arguments in a plainly written, easily understood manner.

book in good condition; a fair amount of highlights and marks; cover's worn out

A practical guide to statistical methods useful in designing and analyzing experiments. An introductory section provides background information. Part I presents elementary descriptive statistics and graphical displays. Part II addresses experimental design. Part III discusses analysis of data from each of the designs presented in Part II. Part IV is devoted to regression modelling.

Food Science and Technology: A Series of Monographs: Statistical Methods in Food and Consumer Research focuses on the applications of statistical methods and specialized techniques in food and consumer research. The publication begins with a review of tools for statistical inference, statistical sensory testing, and analysis of variance and multiple comparison tests. Discussions focus on principles of experimental design, psychophysical aspects of sensory data, scales of measurement, distribution of sensory data, sample size estimation, and analysis of variance. The text then ponders on experimental design and incomplete block experimental designs. The book touches on factorial experiments and response surface designs and analysis. Topics include fitting of response surface design considerations, simple confounding and fractional factorial experiments, composite and rotatable designs, and response surface analysis approach for sensory data. The manuscript then examines shelf life testing experiments, nonparametric statistical methods, and sensory difference tests and selection of panel members. The publication is a dependable source material for researchers, instructors, and applied statisticians.

In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics--a field rooted in physics and chemistry whose ideas and methods are now central to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students in all of these fields, Sethna limits his main presentation to the topics that future mathematicians and biologists, as well as physicists and chemists, will find fascinating and central to their work. The amazing breadth of the field is reflected in the author's large supply of carefully crafted exercises, each an introduction to a whole field of study: everything from chaos through information theory to life at the end of the universe.

Unread book in perfect condition.