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Author: Siti Fairus Mokhtar Publisher: UUM Press ISBN: 9672486553 Category : Mathematics Languages : en Pages : 108
Book Description
Introduction to Probability and Statistics is specially written for students in the Faculty of Computer and Mathematical Sciences. This book is written to help students understand the concepts and fundamental of this subject. This book also useful and relevant for these students. This book is suitable for students who are studying this subject at undergraduate level. It offers the concept and example as well as provides for Introduction to Probability and Statistics. Having read this book, the reader will be able to lean the concept of statistics, step by step in calculation part and give example, exercise and tutorial every chapter.
Author: Siti Fairus Mokhtar Publisher: UUM Press ISBN: 9672486553 Category : Mathematics Languages : en Pages : 108
Book Description
Introduction to Probability and Statistics is specially written for students in the Faculty of Computer and Mathematical Sciences. This book is written to help students understand the concepts and fundamental of this subject. This book also useful and relevant for these students. This book is suitable for students who are studying this subject at undergraduate level. It offers the concept and example as well as provides for Introduction to Probability and Statistics. Having read this book, the reader will be able to lean the concept of statistics, step by step in calculation part and give example, exercise and tutorial every chapter.
Author: F.M. Dekking Publisher: Springer Science & Business Media ISBN: 1846281687 Category : Mathematics Languages : en Pages : 488
Book Description
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
Author: Vijay K. Rohatgi Publisher: John Wiley & Sons ISBN: 1118165683 Category : Mathematics Languages : en Pages : 747
Book Description
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.
Author: Joseph K. Blitzstein Publisher: CRC Press ISBN: 146657559X Category : Mathematics Languages : en Pages : 596
Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Author: Janet Susan Milton Publisher: McGraw-Hill Companies ISBN: Category : Computers Languages : en Pages : 824
Book Description
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
Author: William Mendenhall Publisher: ISBN: 9780176857042 Category : Languages : en Pages : 811
Book Description
In the technologically advanced world of today, we encounter data and statistics daily. From news outlets to retail to social media, it is becoming ever more important to understand statistics and how they are used. Introduction to Probability and Statistics is written to help "train your brain" for statistical thinking and understanding, a theme central to this 4th Canadian Edition. This text contains full coverage of descriptive and inferential statistics while taking a user-friendly approach to help students practice, understand and connect to statistical thinking. The 4th Canadian Edition aims to bolster student success with exercises that encourage students to use the breadth of their knowledge and develop strong conceptual foundations. Distinctly Canadian and engaging examples and data, such as that from social media, make Introduction to Probability and Statistics relevant and modern for today's Canadian students and instructors.
Author: Sheldon M. Ross Publisher: Elsevier ISBN: 9780080470313 Category : Mathematics Languages : en Pages : 640
Book Description
Introduction to Probability and Statistics for Engineers and Scientists, Third Edition, provides an introduction to applied probability and statistics for engineering or science majors . This updated text 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. The Third Edition includes new exercises, examples, homework problems, updated statistical material, and more. New exercises and data examples include: the one-sided Chebyshev inequality for data; logistics distribution and logistic regression; estimation and testing in proofreader problems; and product form estimates of life distributions. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and the enclosed CD-ROM includes unique, easy-to-use software that automates the required computations. This book is intended primarily for undergraduates in engineering and the sciences, and would be of particular interest to students in Industrial Engineering, Operations Research, Statistics, Mathematics, Computer Science, Electrical Engineering, Civil Engineering, Chemical Engineering, and Quantitative Business. It could also be of value in a graduate introductory course in probability and statistics. New in this edition: * New exercises and data examples including: - The One-sided Chebyshev Inequality for Data - The Logistics Distribution and Logistic Regression - Estimation and Testing in proofreader problems - Product Form Estimates of Life Distributions - Observational Studies * Updated statistical material * New, contemporary applications Hallmark features: * Reflects Sheldon Ross's masterfully clear exposition * Contains numerous examples, exercises, and homework problems * Unique, easy-to-use software automates required computations * Applies probability theory to everyday statistical problems and situations * Careful development of probability, modeling, and statistical procedures leads to intuitive understanding * Instructor's Solutions Manual is available to adopters
Author: Vijay K. Rohatgi Publisher: John Wiley & Sons ISBN: 111879964X Category : Mathematics Languages : en Pages : 722
Book Description
A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
Author: Siti Fairus Mokhtar
Author: Siti Fairus Mokhtar
Author: F.M. Dekking
Author: Vijay K. Rohatgi
Author: Bernard William Lindgren
Author: Joseph K. Blitzstein
Author: Janet Susan Milton
Author: William Mendenhall
Author: Sheldon M. Ross
Author: Sujit K. Sahu
Author: Vijay K. Rohatgi