Probability And Statistics With Applications
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Probability And Statistics With Applications
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Author : Leonard A. Asimow
language : en
Publisher: ACTEX Publications
Release Date : 2010
Probability And Statistics With Applications written by Leonard A. Asimow and has been published by ACTEX Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.
This text is listed on the Course of Reading for SOA Exam P, and for the CAS Exam ST. Probability and Statistics with Applications: A Problem Solving Text is an introductory textbook designed to make the subject accessible to college freshmen and sophomores concurrent with their study of calculus. The book provides the content to serve as the primary text for a standard two-semester advanced undergraduate course in mathematical probability and statistics. It is organized specifically to meet the needs of students who are preparing for the Society of Actuaries and Casualty Actuarial Society qualifying examination P/1 and the statistics component of CAS Exam 3L. Sample actuarial exam problems are integrated throughout the text along with an abundance of illustrative examples and 799 exercises. The chapters on mathematical statistics cover all of the learning objectives for the statistics portion of the Casualty Actuarial Society Exam ST syllabus. Here again, liberal use is made of past exam problems from CAS Exams 3 and 3L. A separate solutions manual for the text exercises is also available.
Probability With Statistical Applications
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Author : Rinaldo B. Schinazi
language : en
Publisher: Springer Nature
Release Date : 2022-02-26
Probability With Statistical Applications written by Rinaldo B. Schinazi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-26 with Mathematics categories.
This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability. The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of one entirely new chapter (9) on ’Finding and Comparing Estimators.’ The classroom-tested material presented in this second edition forms the basis for a second course introducing mathematical statistics.
Introduction To Probability With Statistical Applications
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Author : Géza Schay
language : en
Publisher: Birkhäuser
Release Date : 2016-06-17
Introduction To Probability With Statistical Applications written by Géza Schay and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-17 with Mathematics categories.
Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand’s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics. Key features in new edition: * 35 new exercises * Expanded section on the algebra of sets * Expanded chapters on probabilities to include more classical examples * New section on regression * Online instructors' manual containing solutions to all exercises“/p> Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications. Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. ... the book is written ‘for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.’ ... Each new concept is clearly explained and is followed by many detailed examples. ... numerous examples of calculations are given and proofs are well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)
Probability And Statistics
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Author : Frederick Mosteller
language : en
Publisher: Reading, Mass : Addison-Wesley Publishing Company
Release Date : 1961
Probability And Statistics written by Frederick Mosteller and has been published by Reading, Mass : Addison-Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with Probabilities categories.
Probability With Statistical Applications
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Author : Rinaldo Bruno Schinazi
language : en
Publisher: Birkhauser
Release Date : 2001
Probability With Statistical Applications written by Rinaldo Bruno Schinazi and has been published by Birkhauser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematical statistics categories.
This concise text is intended for a one-semester course, and offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications.
Probability With Statistical Applications
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Author : Danyal Sadik
language : en
Publisher:
Release Date : 2016-08-01
Probability With Statistical Applications written by Danyal Sadik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-01 with categories.
Probability is the measure of the likelihood that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 indicates certainty). The higher the probability of an event, the more certain we are that the event will occur. Randomness and uncertainty exist in our daily lives as well as in every discipline in science, engineering, and technology. Statistics and probability are sections of mathematics that deal with data collection and analysis. Probability is the study of chance and is a very fundamental subject that we apply in everyday living, while statistics is more concerned with how we handle data using different analysis techniques and collection methods. These two subjects always go hand in hand and thus you can't study one without studying the other. Probability theory is applied in everyday life in risk assessment and in trade on financial markets. Governments apply probabilistic methods in environmental regulation, where it is called pathway analysis. In addition to financial assessment, probability can be used to analyze trends in biology (e.g. disease spread) as well as ecology. As with finance, risk assessment can be used as a statistical tool to calculate the likelihood of undesirable events occurring and can assist with implementing protocols to avoid encountering such circumstances. Another significant application of probability theory in everyday life is reliability. Probability with Statistical Applications features a wide range of important topics in modern probability theory and statistical applications. The book's coverage is thorough, its presentation logical and geared to student's needs. This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical applications.
Probability With Statistical Applications
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Author : Frederick Mosteller (Statistician)
language : en
Publisher:
Release Date : 1970
Probability With Statistical Applications written by Frederick Mosteller (Statistician) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Olasılık categories.
Introductory Probability And Statistical Applications
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Author : Paul L. Meyer
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1970
Introductory Probability And Statistical Applications written by Paul L. Meyer and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Mathematics categories.
Probability
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Author : John J. Kinney
language : en
Publisher: John Wiley & Sons
Release Date : 2014-11-26
Probability written by John J. Kinney and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-26 with Mathematics categories.
Praise for the First Edition "This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory." - The Statistician Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging readers to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs. The Second Edition features interesting and practical examples from a variety of engineering and scientific fields, as well as: Over 880 problems at varying degrees of difficulty allowing readers to take on more challenging problems as their skill levels increase Chapter-by-chapter projects that aid in the visualization of probability distributions New coverage of statistical quality control and quality production An appendix dedicated to the use of Mathematica® and a companion website containing the referenced data sets Featuring a practical and real-world approach, this textbook is ideal for a first course in probability for students majoring in statistics, engineering, business, psychology, operations research, and mathematics. Probability: An Introduction with Statistical Applications, Second Edition is also an excellent reference for researchers and professionals in any discipline who need to make decisions based on data as well as readers interested in learning how to accomplish effective decision making from data.
Mathematical Statistics With Applications
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Author : Asha Seth Kapadia
language : en
Publisher: CRC Press
Release Date : 2017-07-12
Mathematical Statistics With Applications written by Asha Seth Kapadia and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Mathematics categories.
Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.