Vijay Govindarajan

Stephen L. Mangum

Sven B. Lundstedt

Joel E. Thompson

Janet P. Near

Marcia P. Miceli

Cynthia Fraser

Tony McAdams

John K. Shank

Michael W. Spicer

James L. Perry

Martha C. Cooper

Richard J. Murdock

Orlando Behling

Clark Leavitt

Leslie J. Berkes

Marcus H. Sandver

David Greenberger

Barry M. Mitnick

Elaine T. Chen

Herbert G. Heneman (III)

John D. Blackburn

Lisa M. Lynch

Robert A. Hansen

Stephen A. Buser

Tetsunori Koizumi

Bonnie Lee Roach

Kathryn S. Miller

Randall L. Rose

Robert C. Miljus

Debra Jo Cohen

Working Paper Series

The revised Fourth Edition of this popular textbook is redesigned with Excel 2016 to encourage business students to develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2016 with shortcuts, and translate results into implications for decision makers. The textbook features new examples and assignments on global markets, including cases featuring Chipotle and Costco. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China, and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. The author emphasises communicating results effectively in plain English and with screenshots and compelling graphics in the form of memos and PowerPoints. Chapters include screenshots to make it easy to conduct analyses in Excel 2016. PivotTables and PivotCharts, used frequently in business, are introduced from the start. The Fourth Edition features Monte Carlo simulation in four chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, auto-correlation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response.

Basics, Model Building, Simulation and Cases

Business Statistics for Competitive Advantage with Excel 2016

William Scheiderich

While eminent domain traditionally was used to acquire property for roads, waterways, defense installations, government and public buildings, and the interstate highway system, it has recently been a favored tool in developing urban areas, creating shopping malls, and building big-box retail stores. This is a practical guide for lawyers applying modern land-use doctrine in takings cases.

A Handbook of Condemnation Law

Eminent Domain

Cynthia Fraser

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