Statistical Modeling for Management

Hardcover (Print)
Buy New
Buy New from BN.com
$111.04
Used and New from Other Sellers
Used and New from Other Sellers
from $129.79
Usually ships in 1-2 business days
Other sellers (Hardcover)
  • All (6) from $129.79   
  • New (4) from $129.79   
  • Used (2) from $131.54   

Overview

Bringing to life the most widely used quantitative measurements and statistical techniques in marketing, this book is packed with user-friendly descriptions, examples and study applications.

The process of making marketing decisions is increasingly dependent on quantitative analysis and the use of specific statistical tools and techniques which can be tailored and adapted to solve particular marketing problems.

Any student hoping to enter the world ofmanagement will need to show that they understand and have mastered these techniques. This book will help them to do this and covers the following key topics:

- Measurement sacling and reliability issues in management
- Parametric and non-parametric statistical tests
- Gerneralized Linear Modeling techniques
- Data-reduction techniques
- Model selection and model checking
- Recursive and non-recursive models
- Neural networks
- Knowledge-based systems

This book is ideal for students taking upper level undergraduate classes and graduate classes in statistics for business and management.

Read More Show Less

Product Details

  • ISBN-13: 9780761970118
  • Publisher: SAGE Publications
  • Publication date: 3/3/2008
  • Pages: 256
  • Product dimensions: 6.90 (w) x 9.60 (h) x 0.80 (d)

Meet the Author

Graeme's teaching and research interests are broadly in the area of methodology and data analysis. His Ph D was a study into the acquisition of complex syntax in children and since then he has worked on a number of projects from a wide range of research areas including the conversational behaviour of children, interviewing techniques used on child witnesses, alcohol use in the workplace, the application of knowledge-based expert systems, the application of generalized linear models in predictive modelling, multi-level analysis of data related to Inclusion and Pupil achievement, an assessment of the Early Support Project (Df ES) and a project investigating mathematically demanding F and HE programmes.

Luiz Moutinhois Foundation Chair of Marketing at the Department of Management, University of Glasgow

Read More Show Less

Table of Contents

Measurement Scales
Modeling Continuous Data
Modeling Dichotomous Data
Modeling Ordered Data
Modeling Unordered Data
Neural Networks
Approximate Algorithms for Management Problems
Other Statistical, Mathematical and Co-pattern Modeling Techniques

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)