Quantitative methods for business, management and finance
Author(s)
Bibliographic Information
Quantitative methods for business, management and finance
Palgrave Macmillan, 2010
3rd ed
Available at 5 libraries
  Aomori
  Iwate
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
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  Aichi
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  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
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  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
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  United Kingdom
  Germany
  Switzerland
  France
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  United States of America
Note
Previous ed.: 2005
Includes bibliographical references and index
Description and Table of Contents
Description
Quantitative Methods is a comprehensive guide to the techniques any student of business or finance is likely to need. The authors' coaching, learning-by-doing approach coupled with the text's clear structural outline makes these essential mathematical skills far less daunting. A bestselling and popular text in its previous editions, it has been fully updated with: * new 4 colour text design * New and improved Companion Website * More empirical examples, from across the business, management and finance spectrum * VLE-compatible web content for Blackboard and WebCT * Updated commands and exercises in light of new version Excel and SPSS * New content on: data mining, OLAP, text mining, non-parametric methods, index numbers, productivity software tools.
Table of Contents
PART I: ESSENTIAL MATHS Numbers and Symbols Simplifying Expressions Solving Problems Modelling Using Straight Lines PART II: MORE MATHS Some Special Equations Modelling Using Curves Rates of Change PART III: DESCRIBING DATA Pictures of Data Summarising Data PART IV: PROBABILITY Measuring Uncertainty Numerical Outcomes Continuous Numerical Outcomes Some More Probability Distributions PART V: STATISTICS Estimation Testing Hypotheses Correlation & Regression Comparing Two Populations Nonparametric methods Categorical Data Forecasting Statistics in Practice PART VI: BUSINESS MODELLING Linear Programming Models Planning Projects Models for Inventory Control Time and Money Decision Making Simulating Reality Controlling Quality STATISTICAL TABLES Cumulative Binomial Probabilities Cumulative Standard Normal Probabilities Percentage Points of the Standard Normal Distribution Random Digits Percentage Points of the t Distribution Percentage Points of the x2 Distribution
by "Nielsen BookData"