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Data Analysis, Regression and Forecasting by David E. Bell and Arthur Schleifer (1994, Trade Paperback)
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About this product
Product Identifiers
PublisherBrooks/Cole
ISBN-101565272730
ISBN-139781565272736
eBay Product ID (ePID)875837
Product Key Features
Number of Pages272 Pages
LanguageEnglish
Publication NameData Analysis, Regression and Forecasting
SubjectProbability & Statistics / General, Decision-Making & Problem Solving, Statistics
Publication Year1994
TypeTextbook
Subject AreaMathematics, Business & Economics
AuthorDavid E. Bell, Arthur Schleifer
FormatTrade Paperback
Dimensions
Item Weight17 Oz
Additional Product Features
Edition Number1
Intended AudienceCollege Audience
LCCN94-068360
Dewey Decimal650
Table Of Content1. DATA ANALYSIS AND STATISTICAL DESCRIPTION Sources and Arrangements of Data / Purposes of Data Analysis / Description of One Variable / Description of Two or More Variables / Age as an Independent Variable: Life-Cycle vs. Cohort Effects / Logarithms and Multiplicative Effects / Appendix: Measures of Centrality as Solutions to Decision Problems / Exercises on Interpreting Data / Worked Examples in Data Analysis Using Spreadsheets / Boston Edison vs. City of Boston / Hygiene Industries / The Stride-Rite Corporation (A) 2. SAMPLING AND STATISTICAL INFERENCE Introduction / Sampling in the Real World / Appendix: Elements of Sampling Theory / Exercises on Sampling and Statistical Inference 3. TIME SERIES Introduction / Concepts Used in Data Generation Rules / Two Data Generation Rules / What Comes Next? Exercises on Time Series / The Boston Gas Company: Winter 1980-81 / Appendix: The Moving-Average Temperature Distribution 4. FORECASTING WITH REGRESSION ANALYSIS Indistinguishable and Distinguishable Data / A Regression Model / Inputs to a Regression Analysis / Outputs from a Regression Analysis / Forecasts / Measures of Goodness of Fit / Transformed Variables / Using the Regression Utility / Doing Regression Analysis / Exercises on Forecasting with Regression / Chemplan Corporation: Paint-Rite Division / Harmon Foods, Inc / Highland Park Wood Company / CENEX / CFS Site Selection at Shell Canada Ltd. / Firestone Tire & Rubber Company: The Industry Replacement Passenger Tire Forecast / Data Resources, Inc.: Note on Econometric Models 5. CAUSAL INFERENCE Introduction / What is Causation? Observational Data / An Example / Which Independent Variables Should Be Included? How to Identify the Relevant Independent Variables / Exercise on Causal Inference / The Gotham Giants / Nopane Advertising Strategy / Lincoln Community Hospital 6. MULTIPLICATIVE REGRESSION MODELS Introduction / An Example / Problems with the Linear Models / Summary / Exercise / Barbara J / Key vs. The Gillette Company (A) / Barbara J / Key vs. The Gillette Company (B)
SynopsisThis book contains many classic Harvard cases and offers contemporary concept development. Its low cost makes it an ideal bundle with other Duxbury titles. It is appropriate for short courses in MBA-level statistics and as a supplement in more comprehensive courses. Emphasizing the practice of data analysis, the authors teach the methodology needed to solve a variety of commonly occurring real-world problems that managers encounter daily. Readers learn how to make inferences from limited data, forecast sales in appropriate ways, and avoid potentially disastrous errors of caustic reasoning., This book contains many classic Harvard cases and offers contemporary concept development. Its low cost makes it an ideal bundle with other Duxbury titles. It is appropriate for short courses in MBA-level statistics and as a supplement in more comprehensive courses.Emphasizing the practice of data analysis, the authors teach the methodology needed to solve a variety of commonly occurring real-world problems that managers encounter daily. Readers learn how to make inferences from limited data, forecast sales in appropriate ways, and avoid potentially disastrous errors of caustic reasoning.
LC Classification NumberHD30.23.S3513 1995
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