Probability and Statistics for the Engineering, Computing, and Physical Sciences PDF Download
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Author: Edward R. Dougherty
Publisher:
ISBN: 9780137159130
Category : Probabilities
Languages : en
Pages : 800
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Book Description
Author: Edward R. Dougherty
Publisher:
ISBN: 9780137159130
Category : Probabilities
Languages : en
Pages : 800
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Book Description
Author: Edward R. Dougherty
Publisher:
ISBN:
Category : Probabilities
Languages : en
Pages : 824
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Book Description
Author: Byron P. Roe
Publisher: Springer Nature
ISBN: 3030536947
Category : Science
Languages : en
Pages : 285
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Book Description
This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes’ theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems.
Author:
Publisher:
ISBN: 9781337762021
Category :
Languages : en
Pages :
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Book Description
Author: Walter A. Rosenkrantz
Publisher: CRC Press
ISBN: 158488813X
Category : Mathematics
Languages : en
Pages : 680
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Book Description
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
Author: Sheldon M. Ross
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 532
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Book Description
Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.
Author: Arnold O. Allen
Publisher: Academic Press
ISBN: 0080571050
Category : Mathematics
Languages : en
Pages : 768
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Book Description
This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who need to use probability, statistics and queueing theory to solve problems in other fields, such as engineering, physics, operations research, and management science. The book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter. While the emphasis is the same as in the first edition, this new book makes more extensive use of available personal computer software, such as Minitab and Mathematica.
Author: Michael Baron
Publisher: CRC Press
ISBN: 1498760600
Category : Mathematics
Languages : en
Pages : 475
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Book Description
Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make o
Author: Brian Martin
Publisher: Academic Press
ISBN: 9780443189692
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Probability and Statistics for Physical Sciences, Second Edition, is an accessible guide to commonly used concepts and methods in statistical analysis, as used in physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first year undergraduate students to working scientists across many disciplines.
Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0080919375
Category : Mathematics
Languages : en
Pages : 681
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Book Description
This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science New Real data examples that use significant real data from actual studies across life science, engineering, computing and business New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
