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KuTenk 2000 - BMAT293807-The Mathematics of Banking and Finance

by Dennis Cox and Michael Cox

2006 (310 pages)

ISBN:047001489X

Written in a practical style, this book offers an intermediate guide to the various techniques used in the banking industry, and a consideration of how each one should be approached.

Table of Contents

	The Mathematics of Banking and Finance
	Introduction
	Chapter 1		Introduction to How to Display Data and the Scatter Plot
	Chapter 2		Bar Charts
	Chapter 3		Histograms
	Chapter 4		Probability Theory
	Chapter 5		Standard Terms in Statistics
	Chapter 6		Sampling
	Chapter 7		Probability Distribution Functions
	Chapter 8		Normal Distribution
	Chapter 9		Comparison of the Means, Sample Sizes and Hypothesis Testing
	Chapter 10		Comparison of Variances
	Chapter 11		Chi-squared Goodness of Fit Test
	Chapter 12		Analysis of Paired Data
	Chapter 13		Linear Regression
	Chapter 14		Analysis of Variance
	Chapter 15		Design and Approach to the Analysis of Data
	Chapter 16		Linear Programming—Graphical Method
	Chapter 17		Linear Programming—Simplex Method
	Chapter 18		Transport Problems
	Chapter 19		Dynamic Programming
	Chapter 20		Decision Theory
	Chapter 21		Inventory and Stock Control
	Chapter 22		Simulation—Monte Carlo Methods
	Chapter 23		Reliability—Obsolescence
	Chapter 24		Project Evaluation
	Chapter 25		Risk and Uncertainty
	Chapter 26		Time Series Analysis
	Chapter 27		Reliability
	Chapter 28		Value at Risk
	Chapter 29		Sensitivity Analysis
	Chapter 30		Scenario Analysis
	Chapter 31		An Introduction to Neural Networks
	Mathematical Symbols and Notation