A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics PDF

Author: F.M. Dekking

Publisher: Springer Science & Business Media

Published: 2006-03-30

Total Pages: 488

ISBN-13: 1846281687

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Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics PDF

Author: F.M. Dekking

Publisher: Springer Science & Business Media

Published: 2005-06-15

Total Pages: 485

ISBN-13: 1852338962

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Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics PDF

Author: F.M. Dekking

Publisher: Springer

Published: 2010-10-19

Total Pages: 488

ISBN-13: 9781849969529

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Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

A Modern Approach to Probability Theory

A Modern Approach to Probability Theory PDF

Author: Bert E. Fristedt

Publisher: Springer Science & Business Media

Published: 2013-11-21

Total Pages: 775

ISBN-13: 1489928375

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Students and teachers of mathematics and related fields will find this book a comprehensive and modern approach to probability theory, providing the background and techniques to go from the beginning graduate level to the point of specialization in research areas of current interest. The book is designed for a two- or three-semester course, assuming only courses in undergraduate real analysis or rigorous advanced calculus, and some elementary linear algebra. A variety of applications—Bayesian statistics, financial mathematics, information theory, tomography, and signal processing—appear as threads to both enhance the understanding of the relevant mathematics and motivate students whose main interests are outside of pure areas.

Introduction to Probability

Introduction to Probability PDF

Author: David F. Anderson

Publisher: Cambridge University Press

Published: 2017-11-02

Total Pages: 447

ISBN-13: 110824498X

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This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.

Introduction to Probability and Statistics for Science, Engineering, and Finance

Introduction to Probability and Statistics for Science, Engineering, and Finance PDF

Author: Walter A. Rosenkrantz

Publisher: CRC Press

Published: 2008-07-10

Total Pages: 680

ISBN-13: 158488813X

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Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create

Introduction to Probability

Introduction to Probability PDF

Author: John E. Freund

Publisher: Courier Corporation

Published: 2012-05-11

Total Pages: 247

ISBN-13: 0486158438

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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.

Probability, Random Signals, and Statistics

Probability, Random Signals, and Statistics PDF

Author: X. Rong Li

Publisher: CRC Press

Published: 2017-12-14

Total Pages: 472

ISBN-13: 1351421522

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With this innovative text, the study-and teaching- of probability and random signals becomes simpler, more streamlined, and more effective. Its unique "textgraph" format makes it both student-friendly and instructor-friendly. Pages with a larger typeface form a concise text for basic topics and make ideal transparencies; pages with smaller type provide more detailed explanations and more advanced material.

Introduction to Probability and Statistics, Second Edition,

Introduction to Probability and Statistics, Second Edition, PDF

Author: Giri

Publisher: CRC Press

Published: 1993-04-20

Total Pages: 570

ISBN-13: 9780824790370

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Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.