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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: Vijay K. Rohatgi Publisher: John Wiley & Sons ISBN: 1118165683 Category : Mathematics Languages : en Pages : 748
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: 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: Hossein Pishro-Nik Publisher: ISBN: 9780990637202 Category : Probabilities Languages : en Pages : 746
Book Description
The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.
Author: Sheldon M. Ross Publisher: Academic Press ISBN: 0080919375 Category : Mathematics Languages : en Pages : 681
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
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: Géza Schay Publisher: Springer Science & Business Media ISBN: 0817645918 Category : Mathematics Languages : en Pages : 318
Book Description
Introduction to Probability with Statistical Applications targets non-mathematics students, undergraduates and graduates, who do not need an exhaustive treatment of the subject. The presentation is rigorous and contains theorems and proofs, and linear algebra is largely avoided so only a minimal amount of multivariable calculus is needed. The book contains clear definitions, simplified notation and techniques of statistical analysis, which combined with well-chosen examples and exercises, motivate the exposition. Theory and applications are carefully balanced. Throughout the book there are references to more advanced concepts if required.
Author: J. Susan Milton Publisher: McGraw-Hill Education ISBN: 9780072468366 Category : Mathematics Languages : en Pages : 816
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: Siti Fairus Mokhtar
Author: Siti Fairus Mokhtar
Author: Vijay K. Rohatgi
Author: F.M. Dekking
Author: Hossein Pishro-Nik
Author: Sheldon M. Ross
Author: Joseph K. Blitzstein
Author: Bernard William Lindgren
Author: Sujit K. Sahu
Author: Géza Schay
Author: J. Susan Milton