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PreMBA analytical primer = essential...

Treviäno, Regina.

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PreMBA analytical primer = essential quantitative concepts for business math /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	PreMBA analytical primer/ Regina Treviäno.
其他題名:	essential quantitative concepts for business math /
作者:	Treviäno, Regina.
出版者:	New York :Palgrave Macmillan, : 2008.,
面頁冊數:	xv, 201 p. :ill.
內容註:	PrefaceAcknowledgmentsMathematical Symbols and Abbreviations* Chapter 1 Business Math: Functions and Graphs* 1.1 Functions1.2 Graphing Functions1.3 Equations1.4 Linear Functions1.5 Absolute Value1.6 Slopes and Intercepts of Linear Functions1.7 Solving Two-Variable Systems of Linear Equations1.8 Properties of Functions1.9 Exponents1.10 Changes and Growth Rates1.10.2 Index NumbersChapter 2 Business Math: Optimization2.1 Nonlinear Functions* 2.2 The Concept of a Derivative2.3 Graphical Interpretation of Derivatives2.4 Additional Topics on Derivatives2.5 Second Derivatives2.6 Partial Derivatives2.7 Optimization2.9 Measuring Areas under Linear Functions2.10 Economic Models 2.11 Comparative Statics AnalysisChapter 3 Statistical Analysis Primer 3.1 Elements of Statistics3.2 Sigma Notation3.3 Measures of Central Tendency 3.4 Frequency Tables and Histograms3.5 Measures of Variability3.6 Measures of Association3.7 Probability Essentials3.8 Discrete Random Variables3.9 Continuous Random Variables3.10 An Introduction to Estimation 3.11 Regression Analysis3.12 Hypothesis TestingChapter 4 Mathematics of Finance4.1 Time Value of Money4.2 Real and Nominal Rates ofInterest 4.3 Compound Interest 4.4 Annuities4.5 Perpetuities4.6 Net Present Value 4.7 Bonds 4.8 Common Stocks 4.9 Portfolio Theory PrimerList of RulesAnswers to Practice Exercises References* Index.
標題:	Business mathematics. -
電子資源:	http://link.springer.com/10.1057/9780230615786access to fulltext (Palgrave)
ISBN:	0230615783

PreMBA analytical primer = essential quantitative concepts for business math /
Treviäno, Regina.

PreMBA analytical primeressential quantitative concepts for business math /[electronic resource] :Regina Treviäno. - 1st ed. - New York :Palgrave Macmillan,2008. - xv, 201 p. :ill.

Includes bibliographical references (p. [197]) and index.

Preface*Acknowledgments*Mathematical Symbols and Abbreviations* Chapter 1 Business Math: Functions and Graphs* 1.1 Functions*1.2 Graphing Functions*1.3 Equations*1.4 Linear Functions*1.5 Absolute Value*1.6 Slopes and Intercepts of Linear Functions*1.7 Solving Two-Variable Systems of Linear Equations*1.8 Properties of Functions*1.9 Exponents*1.10 Changes and Growth Rates*1.10.2 Index Numbers*Chapter 2 Business Math: Optimization*2.1 Nonlinear Functions* 2.2 The Concept of a Derivative*2.3 Graphical Interpretation of Derivatives*2.4 Additional Topics on Derivatives*2.5 Second Derivatives*2.6 Partial Derivatives*2.7 Optimization*2.9 Measuring Areas under Linear Functions*2.10 Economic Models *2.11 Comparative Statics Analysis*Chapter 3 Statistical Analysis Primer *3.1 Elements of Statistics*3.2 Sigma Notation*3.3 Measures of Central Tendency *3.4 Frequency Tables and Histograms*3.5 Measures of Variability*3.6 Measures of Association*3.7 Probability Essentials*3.8 Discrete Random Variables*3.9 Continuous Random Variables*3.10 An Introduction to Estimation* 3.11 Regression Analysis*3.12 Hypothesis Testing*Chapter 4 Mathematics of Finance*4.1 Time Value of Money*4.2 Real and Nominal Rates ofInterest *4.3 Compound Interest *4.4 Annuities*4.5 Perpetuities*4.6 Net Present Value *4.7 Bonds *4.8 Common Stocks *4.9 Portfolio Theory Primer*List of Rules*Answers to Practice Exercises *References* Index.

This book is a review of the analytical methods required in most of the quantitative courses taught at MBA programs. Students with no technical background, or who have not studied mathematics since college or even earlier, may easily feel overwhelmed by the mathematical formalism that is typical of economics and finance courses. These students will benefit from a concise and focused review of the analytical tools that will become a necessary skill in their MBA classes. The objective of this book is to present the essential quantitative concepts and methods ina self-contained, non-technical, and intuitive way.

Electronic reproduction.
Basingstoke, England :
Palgrave Macmillan,
2009.

Mode of access:World Wide Web.

ISBN: 0230615783

Standard No.: 10.1057/9780230615786doiSubjects--Topical Terms:

625055
Business mathematics.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HF5691 / .T74 2008eb

Dewey Class. No.: 650.01/513

PreMBA analytical primer = essential quantitative concepts for business math /
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505 0 $a Preface*Acknowledgments*Mathematical Symbols and Abbreviations* Chapter 1 Business Math: Functions and Graphs* 1.1 Functions*1.2 Graphing Functions*1.3 Equations*1.4 Linear Functions*1.5 Absolute Value*1.6 Slopes and Intercepts of Linear Functions*1.7 Solving Two-Variable Systems of Linear Equations*1.8 Properties of Functions*1.9 Exponents*1.10 Changes and Growth Rates*1.10.2 Index Numbers*Chapter 2 Business Math: Optimization*2.1 Nonlinear Functions* 2.2 The Concept of a Derivative*2.3 Graphical Interpretation of Derivatives*2.4 Additional Topics on Derivatives*2.5 Second Derivatives*2.6 Partial Derivatives*2.7 Optimization*2.9 Measuring Areas under Linear Functions*2.10 Economic Models *2.11 Comparative Statics Analysis*Chapter 3 Statistical Analysis Primer *3.1 Elements of Statistics*3.2 Sigma Notation*3.3 Measures of Central Tendency *3.4 Frequency Tables and Histograms*3.5 Measures of Variability*3.6 Measures of Association*3.7 Probability Essentials*3.8 Discrete Random Variables*3.9 Continuous Random Variables*3.10 An Introduction to Estimation* 3.11 Regression Analysis*3.12 Hypothesis Testing*Chapter 4 Mathematics of Finance*4.1 Time Value of Money*4.2 Real and Nominal Rates ofInterest *4.3 Compound Interest *4.4 Annuities*4.5 Perpetuities*4.6 Net Present Value *4.7 Bonds *4.8 Common Stocks *4.9 Portfolio Theory Primer*List of Rules*Answers to Practice Exercises *References* Index.
520 $a This book is a review of the analytical methods required in most of the quantitative courses taught at MBA programs. Students with no technical background, or who have not studied mathematics since college or even earlier, may easily feel overwhelmed by the mathematical formalism that is typical of economics and finance courses. These students will benefit from a concise and focused review of the analytical tools that will become a necessary skill in their MBA classes. The objective of this book is to present the essential quantitative concepts and methods ina self-contained, non-technical, and intuitive way.
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