Principles of Statistics

Titre : Principles of Statistics
Auteur : M. G. Bulmer
Éditeur : Courier Corporation
ISBN-13 : 9780486135205
Libération : 2012-04-26

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Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers.

Principles of Statistical Inference

Titre : Principles of Statistical Inference
Auteur : D. R. Cox
Éditeur : Cambridge University Press
ISBN-13 : 9780521685672
Libération : 2006-08-10

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A comprehensive, balanced account of the theory of statistical inference, its main ideas and controversies.

Principles of Applied Statistics

Titre : Principles of Applied Statistics
Auteur : D. R. Cox
Éditeur : Cambridge University Press
ISBN-13 : 9781139503549
Libération : 2011-07-28

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Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.

Principles of Statistics for Engineers and Scientists

Titre : Principles of Statistics for Engineers and Scientists
Auteur : William Navidi
Éditeur : McGraw-Hill Education
ISBN-13 : 0077289315
Libération : 2009-01-26

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Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that focuses on applications. The text features a unique approach accentuated by an engaging writing style that explains difficult concepts clearly. By presenting ideas in the context of real-world data featured in plentiful examples, the book motivates students to understand fundamental concepts through practical examples found in industry and research.

The Principles of Statistical Mechanics

Titre : The Principles of Statistical Mechanics
Auteur : Richard Chace Tolman
Éditeur : Courier Corporation
ISBN-13 : 0486638960
Libération : 1938

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This is the definitive treatise on the fundamentals of statistical mechanics. A concise exposition of classical statistical mechanics is followed by a thorough elucidation of quantum statistical mechanics: postulates, theorems, statistical ensembles, changes in quantum mechanical systems with time, and more. The final two chapters discuss applications of statistical mechanics to thermodynamic behavior. 1930 edition.

Principles of Statistical Inference

Titre : Principles of Statistical Inference
Auteur : Luigi Pace
Éditeur : World Scientific
ISBN-13 : 9812386947
Libération : 1997-08

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In this book, an integrated introduction to statistical inference is provided from a frequentist likelihood-based viewpoint. Classical results are presented together with recent developments, largely built upon ideas due to R.A. Fisher. The term ?neo-Fisherian? highlights this.After a unified review of background material (statistical models, likelihood, data and model reduction, first-order asymptotics) and inference in the presence of nuisance parameters (including pseudo-likelihoods), a self-contained introduction is given to exponential families, exponential dispersion models, generalized linear models, and group families. Finally, basic results of higher-order asymptotics are introduced (index notation, asymptotic expansions for statistics and distributions, and major applications to likelihood inference).The emphasis is more on general concepts and methods than on regularity conditions. Many examples are given for specific statistical models. Each chapter is supplemented with problems and bibliographic notes. This volume can serve as a textbook in intermediate-level undergraduate and postgraduate courses in statistical inference.

Principles of Statistics

Titre : Principles of Statistics
Auteur : Mohammad Z. Raqab
Éditeur :
ISBN-13 : STANFORD:36105123670114
Libération : 2005

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Mohammad Z. Raqab A été écrit sous une forme ou une autre pendant la plus grande partie de sa vie. Vous pouvez trouver autant d'inspiration de Principles of Statistics Aussi informatif et amusant. Cliquez sur le bouton TÉLÉCHARGER ou Lire en ligne pour obtenir gratuitement le livre de titre $ gratuitement.

Principles Of Statistics 2 Vols Set

Titre : Principles Of Statistics 2 Vols Set
Auteur : Daryab Singh
Éditeur : Atlantic Publishers & Dist
ISBN-13 : 8126900539
Libération : 2001-01-01

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The Book Provides The Subject Matter In A Very Simple And Lucid Manner. It Has Covered All Topics Which Are Necessary To Understand The Subject. Proper Emphasis Is Placed On Theoretical As Well As Practical Aspects. In Each Of The Topics Covered, Maximum Possible Number Of Problems Of Different Varieties With Solutions Are Given. A Large Number Of Unsolved Problems Are Also Included To Facilitate The Students For Self Exercise. The List Of Formulae Used In Various Topics Are Given At The End Of Each Topic. This Will Create Greater Confidence In Students Preparing For The Examination. The Book Will Be Most Useful For The Students Preparing For B.Com.; B.A. (Eco.); C.A.; I.C.W.A. And C.S. Examinations.

Principles of Statistical Techniques

Titre : Principles of Statistical Techniques
Auteur : P. G. Moore
Éditeur : CUP Archive
ISBN-13 : 0521290554
Libération : 1979-04-19

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Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.

Principles of Statistical Genomics

Titre : Principles of Statistical Genomics
Auteur : Shizhong Xu
Éditeur : Springer Science & Business Media
ISBN-13 : 9780387708065
Libération : 2012-09-10

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Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle on the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach. Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data. Resourceful and easy to use, Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics.