Competition in Telecommunications or Quantitative Methods for Decision Makers

Competition in Telecommunications

Author: Jean Jacques Laffont

In Competition in Telecommunications, Jean-Jacques Laffont and Jean Tirole analyze regulatory reform and the emergence of competition in network industries using the state-of-the-art theoretical tools of industrial organization, political economy, and the economics of incentives.

The book opens with background information for the reader who is unfamiliar with current issues in the telecommunication industry. The following sections focus on four central aspects of the recent deregulatory movement: the introduction of incentive regulation; one-way access; the special nature of competition in a industry requiring two-way access; and universal service, in particular, the use of engineering models to compute subsidies and the design of universal service auctions.

See also: SAP R 3 Business Blueprint or Ethics in the Post Enron Age

Quantitative Methods for Decision Makers

Author: Mik Wisniewski

Quantitative Methods for Decision Makers, fourth edition
Mik Wisniewski

As a manager, developing a good understanding of the quantitative techniques at your disposal is crucial. Understanding how and when to use them and what their results really mean can be the difference between making a good or bad decision, and, ultimately, between business success and failure.

This book covers everything you need to know for an introductory quantitative methods course and it helps you to understand why each of the methods and techniques are important by relating them directly to real-life examples where business decisions need to be made.

For this fourth edition the book content, examples and cases have been thoroughly updated throughout. The new and improved use of colour, figures, tables and charts help to illustrate key points and make the text easier to read and understand than ever before. Other key features of this book include:
• Activities in every chapter (with a solutions appendix for ease of reference).
• Worked examples wherever necessary.
• Exercises are supported by real-life data sets, provided in Excel, on the book's companion website.
• A chapter on financial decision-making
• An online Lecturer's Manual (including solutions to exercises in the text).

Quantitative Methods for Decision Makers will provide you with a detailed understanding of the role and purpose of quantitative methods in effective management and managerial decision-making. The focus on the application of these methods by public and private sector managers makes this book especially suitable for those with prior business experienceand for MBA students.

The book's companion website can be found at www.pearsoned.co.uk/wisniewski.

 

Wisniewski makes numerical and statistical concepts understandable and brings them to life using excellent scenarios and case studies. This book was a valuable resource during my MBA studies and I am encouraging all my non-statistical colleagues and anyone who works with statistics or performance measurement data to read this book! - Brian J Pickett, Assistant Director, Local Government Data Unit, Wales

 

Mik Wisniewski is Senior Research Fellow at Strathclyde Business School in Scotland. He also works as a freelance management consultant with clients including PriceWaterhouseCoopers, ScottishPower and Shell, and a variety of public sector organisations.

Table of Contents:

1	Introduction	1
2	Tools of the trade	10
3	Data presentation methods	33
4	Management statistics	66
5	Probability and probability distributions	105
6	Decision making under uncertainty	141
7	Market research and statistical inference	161
8	Quality control and quality management	199
9	Forecasting I: moving averages and time series	217
10	Forecasting II: simple linear regression	255
11	Linear programming	290
12	Stock control	317
13	Project management	337
14	Simulation	370
15	Financial decision making	396
16	Conclusion	419
	App. A Binomial distribution	421
	App. B Areas in the tail of the Normal distribution	426
	App. C Areas in the tail of the t distribution	427
	Bibliography	428
	Index	431