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| Author | : John J. Kinney |
| Publisher | : John Wiley & Sons |
| Total Pages | : 280 |
| Release | : 2009-05-06 |
| Genre | : Mathematics |
| ISBN | : 9780470486962 |
Download A Probability and Statistics Companion Book in PDF, ePub and Kindle
An accessible and engaging introduction to the study of probability and statistics Utilizing entertaining real-world examples, A Probability and Statistics Companion provides aunique, interesting, and accessible introduction to probability and statistics. This one-of-a-kind book delves into practical topics that are crucial in the analysis of sample surveys and experimentation. This handy book contains introductory explanations of the major topics in probability and statistics, including hypothesis testing and regression, while also delving into more advanced topics such as the analysis of sample surveys, analysis of experimental data, and statistical process control. The book recognizes that there are many sampling techniques that can actually improve on simple random sampling, and in addition, an introduction to the design of experiments is provided to reflect recent advances in conducting scientific experiments. This blend of coverage results in the development of a deeper understanding and solid foundation for the study of probability and statistics. Additional topical coverage includes: Probability and sample spaces Choosing the best candidate Acceptance sampling Conditional probability Random variables and discrete probability distributions Waiting time problems Continuous probability distributions Statistical inference Nonparametric methods Least squares and medians Recursions and probability Each chapter contains exercises and explorations for readers who wish to conduct independent projects or investigations. The discussion of most methods is complemented with applications to engaging, real-world scenarios such as winning speeds at the Indianapolis 500 and predicting winners of the World Series. In addition, the book enhances the visual nature of the subject with numerous multidimensional graphical representations of the presented examples. A Probability and Statistics Companion is an excellent book for introductory probability and statistics courses at the undergraduate level. It is also a valuable reference for professionals who use statistical concepts to make informed decisions in their day-to-day work.
| Author | : Bruce Hansen |
| Publisher | : Princeton University Press |
| Total Pages | : 417 |
| Release | : 2022-06-28 |
| Genre | : Business & Economics |
| ISBN | : 0691236143 |
Download Probability and Statistics for Economists Book in PDF, ePub and Kindle
A comprehensive and up-to-date introduction to the mathematics that all economics students need to know Probability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD students with an essential introduction to mathematical probability and statistical theory, which are the basis of the methods used in econometrics. This incisive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of the mathematics that every economist needs to know. Covers probability and statistics with mathematical rigor while emphasizing intuitive explanations that are accessible to economics students of all backgrounds Discusses random variables, parametric and multivariate distributions, sampling, the law of large numbers, central limit theory, maximum likelihood estimation, numerical optimization, hypothesis testing, and more Features hundreds of exercises that enable students to learn by doing Includes an in-depth appendix summarizing important mathematical results as well as a wealth of real-world examples Can serve as a core textbook for a first-semester PhD course in econometrics and as a companion book to Bruce E. Hansen’s Econometrics Also an invaluable reference for researchers and practitioners
| Author | : Robin H. Lock |
| Publisher | : John Wiley & Sons |
| Total Pages | : 866 |
| Release | : 2020-10-13 |
| Genre | : Mathematics |
| ISBN | : 1119682169 |
Download Statistics Book in PDF, ePub and Kindle
Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples. More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches.
| Author | : Adam Prügel-Bennett |
| Publisher | : Cambridge University Press |
| Total Pages | : 475 |
| Release | : 2020-01-23 |
| Genre | : Business & Economics |
| ISBN | : 1108480535 |
Download The Probability Companion for Engineering and Computer Science Book in PDF, ePub and Kindle
Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.
| Author | : Allen B. Downey |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 137 |
| Release | : 2011-07-01 |
| Genre | : Computers |
| ISBN | : 1449313108 |
Download Think Stats Book in PDF, ePub and Kindle
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts. Develop your understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Learn topics not usually covered in an introductory course, such as Bayesian estimation Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data
| Author | : Svetlozar T. Rachev |
| Publisher | : John Wiley & Sons |
| Total Pages | : 676 |
| Release | : 2010-07-30 |
| Genre | : Business & Economics |
| ISBN | : 0470906324 |
Download Probability and Statistics for Finance Book in PDF, ePub and Kindle
A comprehensive look at how probability and statistics is applied to the investment process Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline. Probability and Statistics for Finance addresses this issue by showing you how to apply quantitative methods to portfolios, and in all matter of your practices, in a clear, concise manner. Informative and accessible, this guide starts off with the basics and builds to an intermediate level of mastery. • Outlines an array of topics in probability and statistics and how to apply them in the world of finance • Includes detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis • Offers real-world illustrations of the issues addressed throughout the text The authors cover a wide range of topics in this book, which can be used by all finance professionals as well as students aspiring to enter the field of finance.
| Author | : Cram101 Textbook Reviews |
| Publisher | : Cram101 |
| Total Pages | : 72 |
| Release | : 2011-10 |
| Genre | : Education |
| ISBN | : 9781467270762 |
Download Studyguide for a Probability and Statistics Companion by Kinney, John J., ISBN 9780470471951 Book in PDF, ePub and Kindle
Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780470471951 .
| Author | : Kishor S. Trivedi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1042 |
| Release | : 2016-06-30 |
| Genre | : Computers |
| ISBN | : 1119314208 |
Download Probability and Statistics with Reliability, Queuing, and Computer Science Applications Book in PDF, ePub and Kindle
An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
| Author | : Nitis Mukhopadhyay |
| Publisher | : CRC Press |
| Total Pages | : 694 |
| Release | : 2020-08-30 |
| Genre | : Mathematics |
| ISBN | : 1000291553 |
Download Probability and Statistical Inference Book in PDF, ePub and Kindle
Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning wi
| Author | : Arak M. Mathai |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 732 |
| Release | : 2017-12-18 |
| Genre | : Mathematics |
| ISBN | : 311056260X |
Download Probability and Statistics Book in PDF, ePub and Kindle
This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design. Contents Random phenomena Probability Random variables Expected values Commonly used discrete distributions Commonly used density functions Joint distributions Some multivariate distributions Collection of random variables Sampling distributions Estimation Interval estimation Tests of statistical hypotheses Model building and regression Design of experiments and analysis of variance Questions and answers
