Assignment Methods in Combinational Data Analysis

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $31.00
Usually ships in 1-2 business days
(Save 84%)
Other sellers (Hardcover)
  • All (6) from $31.00   
  • New (1) from $217.11   
  • Used (5) from $31.00   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$217.11
Seller since 2008

Feedback rating:

(196)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New

Ships from: Chicago, IL

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing All
Close
Sort by

Overview

For the first time in one text, this handy pedagogical reference presents comprehensive inference strategies for organizing disparate nonparametric statistics topics under one scheme, illustrating ways of analyzing data sets based on generic notions of proximity (of "closeness") between objects. Assignment Methods in Combinatorial Data Analysis specifically reviews both linear and quadratic assignment models ... covers extensions to multiple object sets and higher-order assignment indices ... considers methods of applying linear assignment models in common data analysis contexts ... discusses a second motion of assignment (or "matching") based upon pairs of objects ... explores confirmatory methods of augmenting multidimensional sealing, cluster analysis, and related techniques ... labels sections in order of priority for continuity and convenience ... and includes extensive bibliographies of related literature. Assignment Methods in Combinatorial Data Analysis gives authoritative coverage of statistical testing, and measures of association in a single source. It is required reading and an invaluable reference for researchers and graduate students in the behavioral and social sciences using quantitative methods of data representation.
Read More Show Less

Product Details

Table of Contents

Preface iii
Part I Applications and Extensions of the Linear Assignment Model
Chapter 1 The Linear Assignment Model 3
1.1 Introduction
1.2 Background
1.3 Applications of the LA Model
1.4 Technical Issues in the LA Model
References
Chapter 2 Evaluating the Correspondence Between Two Rectangular Matrices of the Same Size 49
2.1 Introduction
2.2 Reduction of the Rectangular Matrix Comparison Task to a Linear Assignment Problem
2.3 Applications of the Indices [Lambda]([rho]) and [Lambda]([phi])
2.4 An Inference Model Based on Row and Column Matching
References
Chapter 3 Extensions of the LA Model 77
3.1 Introduction
3.2 Applications
3.3 Two-Dependent Sample Problems
3.4 Comparisons Between Related Linear Assignment Problems
References
Part II Applications and Extensions of the Quadratic Assignment Model
Chapter 4 The Quadratic Assignment Model 121
4.1 Introduction
4.2 Background
4.3 Applications of the QA Model
4.4 Comparisons Between Related QA Problems
4.5 Correlation Between QA (and LA) Indices
4.6 Partial Association
References
Appendix
Chapter 5 Extensions of the QA Model 262
5.1 Introduction
5.2 Nonmultiplicative QA Indices
5.3 Higher-Order Assignment Indices
5.4 Bottleneck Indices
References
Chapter 6 Multiple Proximity Matrices 303
6.1 Introduction
6.2 Generalizations
References
Chapter 7 Assignment Restrictions on the QA Model 311
7.1 Introduction
References
Index 323
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)