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Mathematical Statistics for Economics and Business

  • Textbook
  • © 1996

Overview

Authors:
  1. Ron C. Mittelhammer

    1. Program in Statistics and Department of Agricultural Economics, Washington State University, Pullman, USA

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Elements of Probability Theory

    • Ron C. Mittelhammer
    Pages 1-42

  3. Random Variables, Densities, and Cumulative Distribution Functions

    • Ron C. Mittelhammer
    Pages 43-107

  4. Mathematical Expectation and Moments

    • Ron C. Mittelhammer
    Pages 109-168

  5. Parametric Families of Density Functions

    • Ron C. Mittelhammer
    Pages 169-220

  6. Basic Asymptotics

    • Ron C. Mittelhammer
    Pages 221-295

  7. Sampling, Sample Moments, Sampling Distributions, and Simulation

    • Ron C. Mittelhammer
    Pages 297-361

  8. Elements of Point Estimation Theory

    • Ron C. Mittelhammer
    Pages 363-426

  9. Point Estimation Methods

    • Ron C. Mittelhammer
    Pages 427-508

  10. Elements of Hypothesis-Testing Theory

    • Ron C. Mittelhammer
    Pages 509-593

  11. Hypothesis-Testing Methods

    • Ron C. Mittelhammer
    Pages 595-675

  12. Back Matter

    Pages 677-723
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Keywords

About this book

This book is designed to provide beginning graduate stu­ dents and advanced undergraduates with a rigorous and accessible foundation in the principles of probability and mathematical statistics underlying statis­ tical inference in the fields of business and economics. The book assumes no prior knowledge of probability or statistics and effectively builds the subject "from the ground up." Students who complete their studies of the topics in this text will have acquired the necessary background to achieve a mature and enduring understanding of statistical and econometric methods of inference and will be well equipped to read and comprehend graduate-level economet­ rics texts. Additionally, this text serves as an effective bridge to more advanced study of both mathematical statistics and econometric theory and methods. The book will also be of interest to researchers who desire a decidedly business and economics-oriented treatment of the subject in terms of its topics, depth, breadth, examples, and problems.

Authors and Affiliations

  • Program in Statistics and Department of Agricultural Economics, Washington State University, Pullman, USA

    Ron C. Mittelhammer

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