Introduction to Probability  Statistics  and Random Processes Book

Introduction to Probability Statistics and Random Processes


  • Author : Hossein Pishro-Nik
  • Publisher : Unknown
  • Release Date : 2014-08-15
  • Genre: Probabilities
  • Pages : 746
  • ISBN 10 : 0990637204

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Introduction to Probability Statistics and Random Processes Excerpt :

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.

Probability and Statistics Book
Score: 5
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Probability and Statistics


  • Author : Michael J. Evans
  • Publisher : WH Freeman
  • Release Date : 2010-03-01
  • Genre: Mathematics
  • Pages : 200
  • ISBN 10 : 1429224630

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Probability and Statistics Excerpt :

Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.

Applied Probability and Statistics Book

Applied Probability and Statistics


  • Author : Mario Lefebvre
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-04-03
  • Genre: Mathematics
  • Pages : 358
  • ISBN 10 : 9780387285054

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Applied Probability and Statistics Excerpt :

This book moves systematically through the topic of applied probability from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Each chapter concludes with many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are historical notes on the mathematicians mentioned throughout, and a useful bibliography. A distinguishing character of the book is its thorough and succinct handling of the varied topics.

Probability and Statistics for Computer Science Book

Probability and Statistics for Computer Science


  • Author : David Forsyth
  • Publisher : Springer
  • Release Date : 2017-12-13
  • Genre: Computers
  • Pages : 367
  • ISBN 10 : 9783319644103

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Probability and Statistics for Computer Science Excerpt :

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. • A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. • A clear but crisp account of simple point inference strategies (maximum likelihood; Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing. • A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors. • A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems. • A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. • A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals. Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader shoul

Everyday Probability and Statistics Book

Everyday Probability and Statistics


  • Author : M. M. Woolfson
  • Publisher : Imperial College Press
  • Release Date : 2008
  • Genre: Mathematics
  • Pages : 234
  • ISBN 10 : 9781848160330

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Everyday Probability and Statistics Excerpt :

Probability and statistics impinge on the life of the average person in a variety of ways OCo as is suggested by the title of this book. Very often, information is provided that is factually accurate but intended to present a biased view. This book presents the important results of probability and statistics without making heavy mathematical demands on the reader. It should enable an intelligent reader to properly assess statistical information and to understand that the same information can be presented in different ways.

Mathematical Theory of Probability and Statistics Book

Mathematical Theory of Probability and Statistics


  • Author : Richard von Mises
  • Publisher : Academic Press
  • Release Date : 2014-05-12
  • Genre: Mathematics
  • Pages : 708
  • ISBN 10 : 9781483264028

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Mathematical Theory of Probability and Statistics Excerpt :

Mathematical Theory of Probability and Statistics focuses on the contributions and influence of Richard von Mises on the processes, methodologies, and approaches involved in the mathematical theory of probability and statistics. The publication first elaborates on fundamentals, general label space, and basic properties of distributions. Discussions focus on Gaussian distribution, Poisson distribution, mean value variance and other moments, non-countable label space, basic assumptions, operations, and distribution function. The text then ponders on examples of combined operations and summation of chance variables characteristic function. The book takes a look at the asymptotic distribution of the sum of chance variables and probability inference. Topics include inference from a finite number of observations, law of large numbers, asymptotic distributions, limit distribution of the sum of independent discrete random variables, probability of the sum of rare events, and probability density. The text also focuses on the introduction to the theory of statistical functions and multivariate statistics. The publication is a dependable source of information for researchers interested in the mathematical theory of probability and statistics

Introduction to Probability and Statistics for Engineers and Scientists Book

Introduction to Probability and Statistics for Engineers and Scientists


  • Author : Sheldon M. Ross
  • Publisher : John Wiley & Sons Incorporated
  • Release Date : 1987
  • Genre: Mathematics
  • Pages : 534
  • ISBN 10 : UOM:39015013026342

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Introduction to Probability and Statistics for Engineers and Scientists Excerpt :

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.

Probability  Statistics  and Data Book

Probability Statistics and Data


  • Author : Darrin Speegle
  • Publisher : CRC Press
  • Release Date : 2021-11-26
  • Genre: Business & Economics
  • Pages : 644
  • ISBN 10 : 9781000504514

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Probability Statistics and Data Excerpt :

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested.

An Introduction to Probability and Statistics Book
Score: 5
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An Introduction to Probability and Statistics


  • Author : Vijay K. Rohatgi
  • Publisher : John Wiley & Sons
  • Release Date : 2015-08-06
  • Genre: Mathematics
  • Pages : 728
  • ISBN 10 : 9781118799680

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An Introduction to Probability and Statistics Excerpt :

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.

Probability and Statistics by Example Book
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Probability and Statistics by Example


  • Author : Yuri Suhov
  • Publisher : Cambridge University Press
  • Release Date : 2014-09-22
  • Genre: Mathematics
  • Pages : 477
  • ISBN 10 : 9781107603585

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Probability and Statistics by Example Excerpt :

A valuable resource for students and teachers alike, this second edition contains more than 200 worked examples and exam questions.

A Modern Introduction to Probability and Statistics Book

A Modern Introduction to Probability and Statistics


  • Author : F.M. Dekking
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-03-30
  • Genre: Mathematics
  • Pages : 488
  • ISBN 10 : 9781846281686

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A Modern Introduction to Probability and Statistics Excerpt :

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

Probability and Statistics for Economists Book

Probability and Statistics for Economists


  • Author : Bruce Hansen
  • Publisher : Princeton University Press
  • Release Date : 2022-06-28
  • Genre: Business & Economics
  • Pages : 417
  • ISBN 10 : 9780691236148

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Probability and Statistics for Economists Excerpt :

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

Probability and Statistics Book

Probability and Statistics


  • Author : E. Rukmangadachari
  • Publisher : Unknown
  • Release Date : 2015
  • Genre: Engineering
  • Pages : 400
  • ISBN 10 : OCLC:1112549458

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Probability and Statistics Excerpt :

This book is designed for engineering students studying for the core paper on probability and statistics. The topics have been dealt in a coherent manner, supported by illustrations for better compre¬hension. Each chapter is replete with examples and exercises. The book also has numerous Multiple Choice Questions at the end of each chapter, thus providing the student with an abundant repository of exam specific problems.

Probabitily and Statistics Book

Probabitily and Statistics


  • Author : Gunnar Blom
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Mathematics
  • Pages : 356
  • ISBN 10 : 9781461235668

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Probabitily and Statistics Excerpt :

This is a somewhat extended and modified translation of the third edition of the text, first published in 1969. The Swedish edition has been used for many years at the Royal Institute of Technology in Stockholm, and at the School of Engineering at Link6ping University. It is also used in elementary courses for students of mathematics and science. The book is not intended for students interested only in theory, nor is it suited for those seeking only statistical recipes. Indeed, it is designed to be intermediate between these extremes. I have given much thought to the question of dividing the space, in an appropriate way, between mathematical arguments and practical applications. Mathematical niceties have been left aside entirely, and many results are obtained by analogy. The students I have in mind should have three ingredients in their course: elementary probability theory with applications, statistical theory with applications, and something about the planning of practical investiga tions. When pouring these three ingredients into the soup, I have tried to draw upon my experience as a university teacher and on my earlier years as an industrial statistician. The programme may sound bold, and the reader should not expect too much from this book. Today, probability, statistics and the planning of investigations cover vast areas and, in 356 pages, only the most basic problems can be discussed. If the reader gains a good understanding of probabilistic and statistical reasoning, the main purpose of the book has been fulfilled.

Probability  Statistics and Econometrics Book

Probability Statistics and Econometrics


  • Author : Oliver Linton
  • Publisher : Academic Press
  • Release Date : 2017-03-04
  • Genre: Business & Economics
  • Pages : 388
  • ISBN 10 : 9780128104965

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Probability Statistics and Econometrics Excerpt :

Probability, Statistics and Econometrics provides a concise, yet rigorous, treatment of the field that is suitable for graduate students studying econometrics, very advanced undergraduate students, and researchers seeking to extend their knowledge of the trinity of fields that use quantitative data in economic decision-making. The book covers much of the groundwork for probability and inference before proceeding to core topics in econometrics. Authored by one of the leading econometricians in the field, it is a unique and valuable addition to the current repertoire of econometrics textbooks and reference books. Synthesizes three substantial areas of research, ensuring success in a subject matter than can be challenging to newcomers Focused and modern coverage that provides relevant examples from economics and finance Contains some modern frontier material, including bootstrap and lasso methods not treated in similar-level books Collects the necessary material for first semester Economics PhD students into a single text