Description

Book Synopsis
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.

Table of Contents
Probability; Random Variables; Joint Distributions; Variance and Covariance; Moment Generating Function; 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;

Probability Theory: A Complete One-semester

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    Order before 4pm tomorrow for delivery by Fri 19 Jun 2026.

    A Hardback by Nikolai Dokuchaev

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      View other formats and editions of Probability Theory: A Complete One-semester by Nikolai Dokuchaev

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: 11/08/2015
      ISBN13: 9789814678025, 978-9814678025
      ISBN10: 9814678023

      Description

      Book Synopsis
      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.

      Table of Contents
      Probability; Random Variables; Joint Distributions; Variance and Covariance; Moment Generating Function; 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;

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