Arthur Schleifer

James J. Hill Professor of Business Administration, Emeritus

Cases and Teaching Materials

  1. Forecasting with Regression Analysis

    Provides an example of regression in one of its most important roles. Relating probabilistic forecasts based on past data to decision analysis.

    Keywords: Management Analysis, Tools, and Techniques; Data and Data Sets; Forecasting and Prediction; Mathematical Methods;

    Citation:

    Schleifer, Arthur, Jr. "Forecasting with Regression Analysis." Harvard Business School Background Note 894-007, October 1993. (Revised August 1996.) View Details
  2. Sampling and Statistical Inference

    An introduction to sampling and statistical inference that covers the main concepts (confidence intervals, tests of statistical significance, choice of sample size) that are needed in making inferences about a population mean or percent. Includes discussion of problems of sampling in the real world where response bias and nonrepresentativeness violate the principles on which statistical inference is based.

    Keywords: Mathematical Methods; Forecasting and Prediction; Demographics;

    Citation:

    Schleifer, Arthur, Jr. "Sampling and Statistical Inference." Harvard Business School Background Note 191-092, November 1990. (Revised August 1996.) View Details
  3. Relevant Costs and Revenues

    Develops the idea that the relevance of costs and revenues depends on what decisions are under consideration. Revenues and costs are relevant if they would be different under one decision choice than under the other. Teaching purpose: Basic background material for decision making under certainty and under uncertainty. Provides a framework under which a variety of costs and revenues, resulting from substitution, complementarity, capacity, etc., can be identified as relevant.

    Keywords: Decision Choices and Conditions; Cost; Revenue; Framework; Managerial Roles; Risk and Uncertainty;

    Citation:

    Schleifer, Arthur, Jr. "Relevant Costs and Revenues." Harvard Business School Background Note 892-010, November 1991. (Revised August 1994.) View Details
  4. Flanders of Springfield

    Flanders is a catalog merchandiser. Various decisions on catalog distribution policy, ordering and inventory policy, and catalog format design are considered. This was a final examination, and serves as a review for a number of topics in the course.

    Keywords: Decisions; Policy; Distribution; Product Design; Supply Chain; Mathematical Methods; Consumer Products Industry;

    Citation:

    Schleifer, Arthur, Jr. "Flanders of Springfield." Harvard Business School Case 894-005, August 1993. (Revised April 1994.) View Details
  5. L.L. Bean, Inc.: Item Forecasting and Inventory Management

    L.L. Bean must make stocking decisions on thousands of items sold through its catalogs. In many cases, orders must be placed with vendors twelve or more weeks before a catalog lands on a customer's doorstep, and commitments cannot be changed thereafter. As a result, L.L. Bean suffers annual losses of over $20 million due to stockouts or liquidations of excess inventory. Provides a context in which buying decisions that balance costs of overstocking and understocking when demand is uncertain are made and implemented on a routine basis.

    Keywords: Forecasting and Prediction; Risk Management; Cost Management; Risk and Uncertainty; Demand and Consumers; Order Taking and Fulfillment; Retail Industry; United States;

    Citation:

    Schleifer, Arthur, Jr. "L.L. Bean, Inc.: Item Forecasting and Inventory Management." Harvard Business School Case 893-003, October 1992. (Revised September 1993.) View Details