Probability Theory

A Complete One-Semester Course

Business & Finance, Economics, Econometrics, Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Probability Theory by Nikolai Dokuchaev, World Scientific Publishing Company
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Nikolai Dokuchaev ISBN: 9789814678056
Publisher: World Scientific Publishing Company Publication: June 12, 2015
Imprint: WSPC Language: English
Author: Nikolai Dokuchaev
ISBN: 9789814678056
Publisher: World Scientific Publishing Company
Publication: June 12, 2015
Imprint: WSPC
Language: English

This book provides a systematic, self-sufficient and yet short presentation of the mainstream topics on introductory Probability Theory with some selected topics from Mathematical Statistics. It is suitable for a 10- to 14-week course for second- or third-year undergraduate students in Science, Mathematics, Statistics, Finance, or Economics, who have completed some introductory course in Calculus. There is a sufficient number of problems and solutions to cover weekly tutorials.

Contents:

  • Probability

  • Random Variables

  • Joint Distributions

  • Transformations of the Distributions

  • Expectation of Random Variables

  • Variance and Covariance

  • Conditional Expectations

  • Moment Generating Functions

  • Analysis of Some Important Distributions

  • Limit Theorems

  • Statistical Inference: Point Estimation

  • Statistical Inference: Interval Estimation

  • Appendices:

    • Solutions for the Problems for Weeks 1–12
    • Sample Problems for Final Exams
    • Some Bonus Challenging Problems
    • Statistical Tables

Readership: Undergraduate students, teachers and lecturers in Mathematics and Statistics.

Key Features:

  • This book is short and comprehensive
  • The amount of material is exactly as is needed for a one-semester course
  • There are enough problems with solutions to cover weekly tutorials
  • Supplementary PDF files of presentation slides are provided for lecturers who adopt the textbook
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book provides a systematic, self-sufficient and yet short presentation of the mainstream topics on introductory Probability Theory with some selected topics from Mathematical Statistics. It is suitable for a 10- to 14-week course for second- or third-year undergraduate students in Science, Mathematics, Statistics, Finance, or Economics, who have completed some introductory course in Calculus. There is a sufficient number of problems and solutions to cover weekly tutorials.

Contents:

Readership: Undergraduate students, teachers and lecturers in Mathematics and Statistics.

Key Features:

More books from World Scientific Publishing Company

Cover of the book Gravitation, Astrophysics, and Cosmology by Nikolai Dokuchaev
Cover of the book China's Diplomacy by Nikolai Dokuchaev
Cover of the book Solid State Quantum Information — An Advanced Textbook by Nikolai Dokuchaev
Cover of the book Carbohydrate Chemistry: State of the Art and Challenges for Drug Development by Nikolai Dokuchaev
Cover of the book Stigma by Nikolai Dokuchaev
Cover of the book A Modern Course in University Physics by Nikolai Dokuchaev
Cover of the book Introduction to General Relativity and Cosmology by Nikolai Dokuchaev
Cover of the book Multiphase Flow Phenomena and Applications by Nikolai Dokuchaev
Cover of the book The Ethics and Biosecurity Toolkit for Scientists by Nikolai Dokuchaev
Cover of the book Education-at-Large by Nikolai Dokuchaev
Cover of the book People Matter by Nikolai Dokuchaev
Cover of the book The Fundamentals of Imaging by Nikolai Dokuchaev
Cover of the book Adolescent Medicine Today by Nikolai Dokuchaev
Cover of the book Half-Metallic Materials and Their Properties by Nikolai Dokuchaev
Cover of the book A Computable Universe by Nikolai Dokuchaev
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy