Study Guide for Statistics for Business and Financial Economics

A Supplement to the Textbook by Cheng-Few Lee, John C. Lee and Alice C. Lee

Häftad, Engelska, 2014

AvRonald L. Moy,Li-Shya Chen,Lie Jane Kao

689 kr

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This Study Guide accompanies Statistics for Business and Financial Economics, 3rd Ed. (Springer, 2013), which is the most definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book.

Produktinformation

Utgivningsdatum2014-12-15
Mått155 x 235 x 21 mm
Vikt570 g
FormatHäftad
SpråkEngelska
Antal sidor361
Upplaga2015
FörlagSpringer International Publishing AG
ISBN9783319119960

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Professor Moy received his Ph.D. in Economics from Rutgers University. His research interests include, competitive strategy in the investment process, financial education and golf economics. He has published in the areas of asset pricing, insurance, golf earnings and financial education. He is the co-author of The Irwin Guide to Stocks Bonds Futures and Options. He is a Chartered Financial Analyst and a Certified Financial Planner and is on the editorial board of the Review of Business.Dr. Li-Shya Chen earned her PhD from School of Statistics at University of Minnesota. She is currently an Associate Professor in the Department of Statistics, College of Commerce, National Chengchi University (NCCU). She has 21 years of experience teaching courses in Statistics.Dr. LieJane Kao, an Associate Prof. of Dept. of Banking and Finance at Kainan University, with an Ph. D. degree in Statistics, is specialized in the field of statistics and quantitative finance.

Introduction.- Data Collection and Presentation.- Frequency Distribution and Data Analyses.- Numerical Summary Measures.- Probability Concepts and their Analyses.- Discrete Random Variables and Probability Distributions.- The Normal and Lognormal Distributions.- Sampling and Sampling Distributions.- Other Continuous Distributions and Moments for Distributions.- Hypothesis Testing.- Analysis of Variance and Chi-Square Tests.- Simple Linear Regression and the Correlation Coefficient.- Simple Linear Regression and Correlation: Analyses and Applications.- Multiple Linear Regression.- Other Topics in Applied Regression Analysis.- Nonparametric Statistics.- Time-Series: Analysis, Model and Forecasting.- Index Numbers and Stock Market Indexes.- Sampling Surveys.- Statistical Decision Theory.