Managerial Statistics

Εξώφυλλο
Duxbury, 2000 - 937 σελίδες
0 Κριτικές
MANAGERIAL STATISTICS presents core statistical methods in a modern, unified spreadsheet-oriented approach with a focus on applications to business. This text illustrates, in a very hands-on, example-based approach, a variety of statistical methods to help students analyze data sets and uncover important information to aid decision making. This application focus, together with Excel spreadsheet add-ins, provides a complete learning resource for students.

Τι λένε οι χρήστες - Σύνταξη κριτικής

Δεν εντοπίσαμε κριτικές στις συνήθεις τοποθεσίες.

Περιεχόμενα

Brief Contents
3
Graphs and Tables
25
Summary Measures
73
Getting the Right Data in Excel
126
Probability and Probability Distributions
180
Normal Binomial and Poisson Distributions
243
Decision Making Under Uncertainty
299
Πνευματικά δικαιώματα

Άλλες εκδόσεις - Προβολή όλων

Αναφορές για αυτό το βιβλίο

Exploring Customer Attitudes on BMW: A Case Analysis
Marion Maguire
Περιορισμένη προεπισκόπηση - 2007
Six Sigma Fundamentals: A Complete Introduction to the System, Methods, and ...
D.H. Stamatis
Δεν υπάρχει διαθέσιμη προεπισκόπηση - 2004

Σχετικά με τον συγγραφέα (2000)

S. Christian Albright received his B.S. degree in mathematics from Stanford in 1968 and his Ph.D. in operations research from Stanford in 1972. Since then, he has been teaching in the Operations and Decision Technologies Department in the Kelley School of Business at Indiana University. He has taught courses in management science, computer simulation, and statistics to all levels of business students: undergraduates, MBAs, and doctoral students. His current interest is in spreadsheet modeling, including development of VBA applications in Excel. Dr. Albright has published more than 20 articles in leading operations research journals in the area of applied probability. He has also published a number of successful textbooks, including DATA ANALYSIS AND DECISION MAKING, DATA ANALYSIS FOR MANAGERS, and SPREADSHEET MODELING AND APPLICATIONS.

Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now a Professor of Decision and Information Sciences at the Bauer College at the University of Houston. He has won more than 45 teaching awards, including the school-wide MBA award six times. His current interest is in showing how spreadsheet models can be used to solve business problems in all disciplines, particularly in finance, sports, and marketing. In addition to publishing more than 20 articles in leading journals, Dr. Winston has written such successful textbooks as OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, MATHEMATICAL PROGRAMMING: APPLICATIONS AND ALGORITHMS, SIMULATION MODELING WITH @RISK, DATA ANALYSIS FOR MANAGERS, SPREADSHEET MODELING AND APPLICATIONS, MATHLETICS, DATA ANALYSIS AND BUSINESS MODELING WITH EXCEL 2013, MARKETING ANALYTICS, and FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION. He received his B.S. degree in mathematics from MIT and his Ph.D. in operations research from Yale.

Christopher J. Zappe earned his B.A. in Mathematics from DePauw University in 1983 and his M.B.A. and Ph.D. in Decision Sciences from Indiana University in 1987 and 1988, respectively. Since 1993, Professor Zappe has been serving as an associate professor in the decision sciences area of the Department of Management at Bucknell University (Lewisburg, PA). He has published articles in scholarly journals such as Managerial and Decision Economics, OMEGA, Naval Research Logistics, and Interfaces.

Πληροφορίες βιβλιογραφίας