{"product_id":"the-bayesian-way-introductory-statistics-for-economists-and-engineers-isbn-9781119246879","title":"The Bayesian Way: Introductory Statistics for Economists and Engineers","description":"\u003cp\u003e\u003cb\u003eA comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eThe Bayesian Way\u003c\/i\u003e offers a basic introduction to statistics that emphasizes the Bayesian approach and is designed for use by those studying professional disciplines like engineering and economics. In addition to the Bayesian approach, the author includes the most common techniques of the frequentist approach. Throughout the text, the author covers statistics from a basic to a professional working level along with a practical understanding of the matter at hand.\u003c\/p\u003e \u003cp\u003eFilled with helpful illustrations, this comprehensive text explores a wide range of topics, starting with descriptive statistics, set theory, and combinatorics. The text then goes on to review fundamental probability theory and Bayes' theorem. The first part ends in an exposition of stochastic variables, exploring discrete, continuous and mixed probability distributions. In the second part, the book looks at statistical inference. Primarily Bayesian, but with the main frequentist techniques included, it covers conjugate priors through the powerful yet simple method of hyperparameters. It then goes on to topics in hypothesis testing (including utility functions), point and interval estimates (including frequentist confidence intervals), and linear regression. This book:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExplains basic statistics concepts in accessible terms and uses an abundance of illustrations to enhance visual understanding\u003c\/li\u003e \u003cli\u003eHas guides for how to calculate the different probability distributions, functions , and statistical properties, on platforms like popular pocket calculators and Mathematica \/ Wolfram Alpha\u003c\/li\u003e \u003cli\u003eIncludes example-proofs that enable the reader to follow the reasoning\u003c\/li\u003e \u003cli\u003eContains assignments at different levels of difficulty from simply filling out the correct formula to the complex multi-step text assignments \u003c\/li\u003e \u003cli\u003eOffers information on continuous, discrete and mixed probability distributions, hypothesis testing, credible and confidence intervals, and linear regression \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for undergraduate and graduate students of subjects where Bayesian statistics are applied, including engineering, economics, and related fields, \u003ci\u003eThe Bayesian Way: With Applications in Engineering and Economics\u003c\/i\u003e offers a clear understanding of Bayesian statistics that have real-world applications.\u003c\/p\u003e \u003cp\u003eDedication v\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003e1 Introduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Foundations 7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2 Data 9\u003c\/p\u003e \u003cp\u003e3 Multivariate Data 31\u003c\/p\u003e \u003cp\u003e4 Set Theory and Combinatorics 51\u003c\/p\u003e \u003cp\u003e5 Probability 71\u003c\/p\u003e \u003cp\u003e6 Bayes’ Theorem 107\u003c\/p\u003e \u003cp\u003e7 Stochastic Variables on ℝ 137\u003c\/p\u003e \u003cp\u003e8 Stochastic Variables II 171\u003c\/p\u003e \u003cp\u003e9 Discrete Distributions 197\u003c\/p\u003e \u003cp\u003e10 Continuous Distributions 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Inference 267\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11 Introduction 269\u003c\/p\u003e \u003cp\u003e12 Bayes’ Theorem for Distributions 279\u003c\/p\u003e \u003cp\u003e13 Bayes’ Theorem with Hyperparameters 299\u003c\/p\u003e \u003cp\u003e14 Bayesian Hypothesis Testing 329\u003c\/p\u003e \u003cp\u003e15 Estimates 351\u003c\/p\u003e \u003cp\u003e16 Frequentist Inference 371\u003c\/p\u003e \u003cp\u003e17 Linear Regression 389\u003c\/p\u003e \u003cp\u003eA Appendix 405\u003c\/p\u003e \u003cp\u003eB Solutions to Exercises 423\u003c\/p\u003e \u003cp\u003eC Tables 489\u003c\/p\u003e \u003cp\u003eIndex 497\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e\u003cb\u003eSvein Olav Nyberg, PhD,\u003c\/b\u003e is an Associate Professor at Agder University in Grimstad, Norway. Previously, he worked at Volda University College as an Associate Professor and at Computas A\/S as a Senior Engineer.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eA comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThe Bayesian Way\u003c\/i\u003e offers a basic introduction to statistics that emphasizes the Bayesian approach and is designed for use by those studying professional disciplines like engineering and economics. In addition to the Bayesian approach, the author includes the most common techniques of the frequentist approach. Throughout the text, the author covers statistics from a basic to a professional working level along with a practical understanding of the matter at hand. \u003c\/p\u003e\u003cp\u003eFilled with helpful illustrations, this comprehensive text explores a wide range of topics, starting with descriptive statistics, set theory, and combinatorics. The book then goes on to review fundamental probability theory and Bayes' theorem. The first part ends in an exposition of stochastic variables, exploring discrete, continuous and mixed probability distributions. In the second part, the book looks at statistical inference. Primarily Bayesian, but with the main frequentist techniques included, this book covers conjugate priors through the powerful yet simple method of hyperparameters. It then goes on to topics in hypothesis testing (including utility functions), point and interval estimates (including frequentist confidence intervals), and linear regression. This book: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eExplains basic statistics concepts in accessible terms and uses an abundance of illustrations to enhance visual understanding\u003c\/li\u003e \u003cli\u003eHas guides for how to calculate the different probability distributions, functions, and statistical properties, on platforms like popular pocket calculators and Mathematica \/ Wolfram Alpha\u003c\/li\u003e \u003cli\u003eIncludes example-proofs that enable the reader to follow the reasoning\u003c\/li\u003e \u003cli\u003eContains assignments at different levels of difficulty from simply filling out the correct formula to complex multi-step text assignments\u003c\/li\u003e \u003cli\u003eOffers information on continuous, discrete and mixed probability distributions, hypothesis testing, credible and confidence intervals, and linear regression\u003c\/li\u003e \u003cli\u003eContains lists of further reading and interesting relevant links on the author's website: http:\/\/bayesians.net\/\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for undergraduate and graduate students of subjects where statistics are applied, including engineering, economics, and related fields, \u003ci\u003eThe Bayesian Way: Introductory Statistics for Economists and Engineers\u003c\/i\u003e offers a clear understanding of statistics that have real-world applications.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990166028517,"sku":"NP9781119246879","price":118.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119246879.jpg?v=1761786756","url":"https:\/\/k12savings.com\/es\/products\/the-bayesian-way-introductory-statistics-for-economists-and-engineers-isbn-9781119246879","provider":"K12savings","version":"1.0","type":"link"}