Introduction to Probability and Statistics for Science, Engineering, and Finance

Walter A. Rosenkrantz

ISBN 10: 1032477784 / ISBN 13: 9781032477787

Published by Taylor & Francis, Chapman And Hall/CRC, 2023

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create tables and graphs produced by standard statistical software packages, such as Minitab, SAS, and JMP. It then takes students through the traditional topics of a first course in statistics. Novel features include: Applications of standard statistical concepts and methods to the analysis and interpretation of financial data, such as risks and returns Cox-Ross-Rubinstein (CRR) model, also called the binomial lattice model, of stock price fluctuations An application of the central limit theorem to the CRR model that yields the lognormal distribution for stock prices and the famous Black-Scholes option pricing formula An introduction to modern portfolio theory Mean-standard deviation diagram of a collection of portfolios Computing a stock's betavia simple linear regression As soon as he develops the statistical concepts, the author presents applications to engineering, such as queuing theory, reliability theory, and acceptance sampling; computer science; public health; and finance. Using both statistical software packages and scientific calculators, he reinforces fundamental concepts with numerous examples. 680 pp. Englisch.

Seller Inventory # 9781032477787

Bibliographic Details

• Title: Introduction to Probability and Statistics for Science, Engineering, and Finance
• Publisher: Taylor & Francis, Chapman And Hall/CRC
• Publication Date: 2023
• Language: English
• ISBN 10: 1032477784
• ISBN 13: 9781032477787
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 36D millimeters 254 millimeters width by 178 millimeters height by 36 millimeters depth
• Weight: 453 grams

About this title

Synopsis

Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields.

The text first introduces the basics needed to understand and create tables and graphs produced by standard statistical software packages, such as Minitab, SAS, and JMP. It then takes students through the traditional topics of a first course in statistics. Novel features include:

Applications of standard statistical concepts and methods to the analysis and interpretation of financial data, such as risks and returns

Cox–Ross–Rubinstein (CRR) model, also called the binomial lattice model, of stock price fluctuations

An application of the central limit theorem to the CRR model that yields the lognormal distribution for stock prices and the famous Black–Scholes option pricing formula

An introduction to modern portfolio theory

Mean-standard deviation diagram of a collection of portfolios

Computing a stock’s betavia simple linear regression

As soon as he develops the statistical concepts, the author presents applications to engineering, such as queuing theory, reliability theory, and acceptance sampling; computer science; public health; and finance. Using both statistical software packages and scientific calculators, he reinforces fundamental concepts with numerous examples.

About the Author

Walter A. Rosenkrantz