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The Bayesian Way: Introductory Statistics For Economists And Engineers

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A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics The Bayesian Way 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

  • Описание
  • Filled with helpful illustrations, this comprehensive text explores a wide range of topics, starting with descriptive statistics, set theory, and combinatorics

    In addition to the Bayesian approach, the author includes the most common techniques of the frequentist approach

    In the second part, the book looks at statistical inference

    It then goes on to topics in hypothesis testing including utility functions , point and interval estimates including frequentist confidence intervals , and linear regression

    Primarily Bayesian, but with the main frequentist techniques included, it covers conjugate priors through the powerful yet simple method of hyperparameters

    The first part ends in an exposition of stochastic variables, exploring discrete, continuous and mixed probability distributions

    The text then goes on to review fundamental probability theory and Bayes' theorem

    This book Explains basic statistics concepts in accessible terms and uses an abundance of illustrations to enhance visual understanding Has guides for how to calculate the different probability distributions, functions , and statistical properties, on platforms like popular pocket calculators and Mathematica / Wolfram Alpha Includes example-proofs that enable the reader to follow the reasoning Contains assignments at different levels of difficulty from simply filling out the correct formula to the complex multi-step text assignments Offers information on continuous, discrete and mixed probability distributions, hypothesis testing, credible and confidence intervals, and linear regression Written for undergraduate and graduate students

    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

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