Search Results for "principles-of-statistics-dover-books-on-mathematics"

Principles of Statistics

Principles of Statistics

  • Author: M. G. Bulmer
  • Publisher: Courier Corporation
  • ISBN: 0486135209
  • Category: Mathematics
  • Page: 256
  • View: 7047
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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.

The Statistical Analysis of Experimental Data

The Statistical Analysis of Experimental Data

  • Author: John Mandel
  • Publisher: Courier Corporation
  • ISBN: 048613959X
  • Category: Mathematics
  • Page: 432
  • View: 8977
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First half of book presents fundamental mathematical definitions, concepts, and facts while remaining half deals with statistics primarily as an interpretive tool. Well-written text, numerous worked examples with step-by-step presentation. Includes 116 tables.

Probability Theory

Probability Theory

A Concise Course

  • Author: Y. A. Rozanov
  • Publisher: Courier Corporation
  • ISBN: 0486321142
  • Category: Mathematics
  • Page: 148
  • View: 5990
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This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, and more. Includes 150 problems, many with answers.

Calculus and Statistics

Calculus and Statistics

  • Author: Michael C. Gemignani
  • Publisher: Courier Corporation
  • ISBN: 0486151743
  • Category: Mathematics
  • Page: 384
  • View: 3168
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Topics include applications of the derivative, sequences and series, the integral and continuous variates, discrete distributions, hypothesis testing, functions of several variables, and regression and correlation. 1970 edition. Includes 201 figures and 36 tables.

Statistical Inference

Statistical Inference

A Concise Course

  • Author: Robert B. Ash
  • Publisher: Courier Corporation
  • ISBN: 0486481581
  • Category: Mathematics
  • Page: 124
  • View: 8876
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This book offers a brief course in statistical inference that requires only a basic familiarity with probability and matrix and linear algebra. Ninety problems with solutions make it an ideal choice for self-study as well as a helpful review of a wide-ranging topic with important uses to professionals in business, government, public administration, and other fields. 2011 edition.

The Principles of Statistical Mechanics

The Principles of Statistical Mechanics

  • Author: Richard Chace Tolman
  • Publisher: Courier Corporation
  • ISBN: 9780486638966
  • Category: Science
  • Page: 660
  • View: 8031
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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 and Techniques of Applied Mathematics

Principles and Techniques of Applied Mathematics

  • Author: Bernard Friedman
  • Publisher: Courier Dover Publications
  • ISBN: 0486664449
  • Category: Mathematics
  • Page: 315
  • View: 4117
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Stimulating, thought-provoking study shows how abstract methods of pure mathematics can be used to systematize problem-solving techniques in applied mathematics. Topics include methods for solving integral equations, finding Green’s function for ordinary or partial differential equations, and for finding the spectral representation of ordinary differential operators.

Theory of Games and Statistical Decisions

Theory of Games and Statistical Decisions

  • Author: David A. Blackwell,M. A. Girshick
  • Publisher: Courier Corporation
  • ISBN: 0486150895
  • Category: Mathematics
  • Page: 384
  • View: 2487
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A problem-oriented text for evaluating statistical procedures through decision and game theory. First-year graduates in statistics, computer experts and others will find this highly respected work best introduction to growing field.

Statistical Method from the Viewpoint of Quality Control

Statistical Method from the Viewpoint of Quality Control

  • Author: Walter A. Shewhart
  • Publisher: Courier Corporation
  • ISBN: 048617087X
  • Category: Mathematics
  • Page: 176
  • View: 7787
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Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. First inexpensive paperback edition.

Introduction to Probability

Introduction to Probability

  • Author: John E. Freund
  • Publisher: Courier Corporation
  • ISBN: 0486158438
  • Category: Mathematics
  • Page: 247
  • View: 5889
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Featured topics include permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, much more. Exercises with some solutions. Summary. 1973 edition.

Foundations of Probability

Foundations of Probability

  • Author: Alfred Renyi
  • Publisher: Courier Corporation
  • ISBN: 0486462617
  • Category: Mathematics
  • Page: 366
  • View: 8966
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Introducing many innovations in content and methods, this book involves the foundations, basic concepts, and fundamental results of probability theory. Geared toward readers seeking a firm basis for study of mathematical statistics or information theory, it also covers the mathematical notions of experiments and independence. 1970 edition.

Mathematical Foundations of Statistical Mechanics

Mathematical Foundations of Statistical Mechanics

  • Author: Aleksandr I?Akovlevich Khinchin
  • Publisher: Courier Corporation
  • ISBN: 9780486601472
  • Category: Mathematics
  • Page: 179
  • View: 1829
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Phase space, ergodic problems, central limit theorem, dispersion and distribution of sum functions. Chapters include Geometry and Kinematics of the Phase Space; Ergodic Problem; Reduction to the Problem of the Theory of Probability; Application of the Central Limit Theorem; Ideal Monatomic Gas; The Foundation of Thermodynamics; and more.

Foundations of Combinatorics with Applications

Foundations of Combinatorics with Applications

  • Author: Edward A. Bender,S. Gill Williamson
  • Publisher: Courier Corporation
  • ISBN: 0486151506
  • Category: Mathematics
  • Page: 480
  • View: 6406
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Suitable for upper-level undergraduates and graduate students in engineering, science, and mathematics, this introductory text explores counting and listing, graphs, induction and recursion, and generating functions. Includes numerous exercises (some with solutions), notes, and references.

Principles of Numerical Analysis

Principles of Numerical Analysis

  • Author: Alston S. Householder
  • Publisher: Courier Corporation
  • ISBN: 048645312X
  • Category: Mathematics
  • Page: 274
  • View: 455
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Computer science rests upon the building blocks of numerical analysis. This concise treatment by an expert covers the essentials of the solution of finite systems of linear and nonlinear equations as well as the approximate representation of functions. A final section provides 54 problems, subdivided according to chapter. 1953 edition.

Methods of Mathematics Applied to Calculus, Probability, and Statistics

Methods of Mathematics Applied to Calculus, Probability, and Statistics

  • Author: Richard W. Hamming
  • Publisher: Courier Corporation
  • ISBN: 0486138879
  • Category: Mathematics
  • Page: 880
  • View: 5671
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This 4-part treatment begins with algebra and analytic geometry and proceeds to an exploration of the calculus of algebraic functions and transcendental functions and applications. 1985 edition. Includes 310 figures and 18 tables.

The Variational Principles of Mechanics

The Variational Principles of Mechanics

  • Author: Cornelius Lanczos
  • Publisher: Courier Corporation
  • ISBN: 0486134709
  • Category: Science
  • Page: 464
  • View: 5917
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Philosophic, less formalistic approach to analytical mechanics offers model of clear, scholarly exposition at graduate level with coverage of basics, calculus of variations, principle of virtual work, equations of motion, more.

Problems in Probability Theory, Mathematical Statistics and Theory of Random Functions

Problems in Probability Theory, Mathematical Statistics and Theory of Random Functions

  • Author: A. A. Sveshnikov
  • Publisher: Courier Corporation
  • ISBN: 0486137562
  • Category: Mathematics
  • Page: 512
  • View: 648
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Approximately 1,000 problems — with answers and solutions included at the back of the book — illustrate such topics as random events, random variables, limit theorems, Markov processes, and much more.

Mathematical Foundations of Elasticity

Mathematical Foundations of Elasticity

  • Author: Jerrold E. Marsden,Thomas J. R. Hughes
  • Publisher: Courier Corporation
  • ISBN: 0486142272
  • Category: Technology & Engineering
  • Page: 576
  • View: 2280
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Graduate-level study approaches mathematical foundations of three-dimensional elasticity using modern differential geometry and functional analysis. It presents a classical subject in a modern setting, with examples of newer mathematical contributions. 1983 edition.

An Elementary Introduction to the Theory of Probability

An Elementary Introduction to the Theory of Probability

  • Author: Boris Vladimirovich Gnedenko,Aleksandr I?Akovlevich Khinchin
  • Publisher: Courier Corporation
  • ISBN: 9780486601557
  • Category: Mathematics
  • Page: 130
  • View: 2091
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This compact volume equips the reader with all the facts and principles essential to a fundamental understanding of the theory of probability. It is an introduction, no more: throughout the book the authors discuss the theory of probability for situations having only a finite number of possibilities, and the mathematics employed is held to the elementary level. But within its purposely restricted range it is extremely thorough, well organized, and absolutely authoritative. It is the only English translation of the latest revised Russian edition; and it is the only current translation on the market that has been checked and approved by Gnedenko himself. After explaining in simple terms the meaning of the concept of probability and the means by which an event is declared to be in practice, impossible, the authors take up the processes involved in the calculation of probabilities. They survey the rules for addition and multiplication of probabilities, the concept of conditional probability, the formula for total probability, Bayes's formula, Bernoulli's scheme and theorem, the concepts of random variables, insufficiency of the mean value for the characterization of a random variable, methods of measuring the variance of a random variable, theorems on the standard deviation, the Chebyshev inequality, normal laws of distribution, distribution curves, properties of normal distribution curves, and related topics. The book is unique in that, while there are several high school and college textbooks available on this subject, there is no other popular treatment for the layman that contains quite the same material presented with the same degree of clarity and authenticity. Anyone who desires a fundamental grasp of this increasingly important subject cannot do better than to start with this book. New preface for Dover edition by B. V. Gnedenko.

Principles of Statistical Inference

Principles of Statistical Inference

  • Author: D. R. Cox
  • Publisher: Cambridge University Press
  • ISBN: 9781139459136
  • Category: Mathematics
  • Page: N.A
  • View: 1819
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In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.