John E. Hanke

Dean W. Wichern

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Business Forecasting

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<P style="MARGIN: 0px"><B>For undergraduate and graduate courses in Business Forecasting.</B></P>  <P style="MARGIN: 0px">&nbsp;</P>  <P style="MARGIN: 0px">Written in a simple, straightforward style, <I>Business Forecasting 9/e</I> presents basic statistical techniques using practical business examples to teach students how to predict long-term forecasts.</P>

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<h2>Brief Contents</h2>
<div class="c-section-headers-non-traditional-number-list_container">
<ol start="1">
<li>Introduction to Forecasting</li>
<li>A Review of Basic Statistical Concepts</li>
<li>Exploring Data Patterns and Choosing a Forecasting Technique</li>
<li>Moving Averages and Smoothing Methods</li>
<li>Time Series and Their Components</li>
<li>Simple Linear Regression</li>
<li>Multiple Regression Analysis</li>
<li>Regression with Time Series Data</li>
<li>The Box-Jenkins (ARIMA) Methodology</li>
<li>Judgmental Forecasting and Forecast Adjustments</li>
<li>Managing the Forecasting Process</li>
</ol>
<h3>Appendix A: Derivations</h3>
<h3>Appendix B: Data for Case Study 7.1</h3>
<h3>Appendix C: Tables</h3>
<h3>Appendix D: Data Sets and Databases</h3>
</div>
</body>
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Business Forecasting, 9th edition

Brief Contents

Appendix A: Derivations

Appendix B: Data for Case Study 7.1

Appendix C: Tables

Appendix D: Data Sets and Databases