Assignment Methods In Combinational Data Analysis

Download Assignment Methods In Combinational Data Analysis full books in PDF, epub, and Kindle. Read online Assignment Methods In Combinational Data Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Assignment Methods in Combinational Data Analysis

Author : Lawrence Hubert
Publisher : CRC Press
ISBN 13 : 9780824776176
Total Pages : 350 pages
Book Rating : 4.7/5 (761 download)

DOWNLOAD NOW!

Book Synopsis Assignment Methods in Combinational Data Analysis by : Lawrence Hubert

Download or read book Assignment Methods in Combinational Data Analysis written by Lawrence Hubert and published by CRC Press. This book was released on 1986-09-29 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Book jacket.

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Author : Israël César Lerman
Publisher : Springer
ISBN 13 : 1447167937
Total Pages : 647 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering by : Israël César Lerman

Download or read book Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering written by Israël César Lerman and published by Springer. This book was released on 2016-03-24 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field. With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical. Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages: Clustering a set of descriptive attributes Clustering a set of objects or a set of object categories Establishing correspondence between these two dual clusterings Tools for interpreting the reasons of a given cluster or clustering are also included. Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.

Branch-and-Bound Applications in Combinatorial Data Analysis

Author : Michael J. Brusco
Publisher : Springer Science & Business Media
ISBN 13 : 9780387250373
Total Pages : 248 pages
Book Rating : 4.2/5 (53 download)

DOWNLOAD NOW!

Book Synopsis Branch-and-Bound Applications in Combinatorial Data Analysis by : Michael J. Brusco

Download or read book Branch-and-Bound Applications in Combinatorial Data Analysis written by Michael J. Brusco and published by Springer Science & Business Media. This book was released on 2005-07-22 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial problems arise in the clustering of a collection of objects, the seriation (sequencing or ordering) of objects, and the selection of variables for subsequent multivariate statistical analysis such as regression. The options for choosing a solution strategy in combinatorial data analysis can be overwhelming. Because some problems are too large or intractable for an optimal solution strategy, many researchers develop an over-reliance on heuristic methods to solve all combinatorial problems. However, with increasingly accessible computer power and ever-improving methodologies, optimal solution strategies have gained popularity for their ability to reduce unnecessary uncertainty. In this monograph, optimality is attained for nontrivially sized problems via the branch-and-bound paradigm. For many combinatorial problems, branch-and-bound approaches have been proposed and/or developed. However, until now, there has not been a single resource in statistical data analysis to summarize and illustrate available methods for applying the branch-and-bound process. This monograph provides clear explanatory text, illustrative mathematics and algorithms, demonstrations of the iterative process, psuedocode, and well-developed examples for applications of the branch-and-bound paradigm to important problems in combinatorial data analysis. Supplementary material, such as computer programs, are provided on the world wide web. Dr. Brusco is a Professor of Marketing and Operations Research at Florida State University, an editorial board member for the Journal of Classification, and a member of the Board of Directors for the Classification Society of North America. Stephanie Stahl is an author and researcher with years of experience in writing, editing, and quantitative psychology research.

Branch-and-Bound Applications in Combinatorial Data Analysis

Author : Michael J. Brusco
Publisher : Springer Science & Business Media
ISBN 13 : 0387288104
Total Pages : 222 pages
Book Rating : 4.3/5 (872 download)

DOWNLOAD NOW!

Book Synopsis Branch-and-Bound Applications in Combinatorial Data Analysis by : Michael J. Brusco

Handbook of Methods in Cultural Anthropology

Author : H. Russell Bernard
Publisher : Rowman & Littlefield
ISBN 13 : 0759120722
Total Pages : 785 pages
Book Rating : 4.7/5 (591 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Methods in Cultural Anthropology by : H. Russell Bernard

Download or read book Handbook of Methods in Cultural Anthropology written by H. Russell Bernard and published by Rowman & Littlefield. This book was released on 2014-07-08 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Methods in Cultural Anthropology, now in its second edition, maintains a strong benchmark for understanding the scope of contemporary anthropological field methods. Avoiding divisive debates over science and humanism, the contributors draw upon both traditions to explore fieldwork in practice. The second edition also reflects major developments of the past decade, including: the rising prominence of mixed methods, the emergence of new technologies, and evolving views on ethnographic writing. Spanning the chain of research, from designing a project through methods of data collection and interpretive analysis, the Handbook features new chapters on ethnography of online communities, social survey research, and network and geospatial analysis. Considered discussion of ethics, epistemology, and the presentation of research results to diverse audiences round out the volume. The result is an essential guide for all scholars, professionals, and advanced students who employ fieldwork.

Combinatorial Data Analysis

Author : Lawrence Hubert
Publisher : SIAM
ISBN 13 : 0898714788
Total Pages : 172 pages
Book Rating : 4.8/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Combinatorial Data Analysis by : Lawrence Hubert

Download or read book Combinatorial Data Analysis written by Lawrence Hubert and published by SIAM. This book was released on 2001-01-01 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial data analysis refers to methods for the study of data sets where the arrangement of objects is central.

Quadratic Assignment and Related Problems

Author : Panos M. Pardalos
Publisher : American Mathematical Soc.
ISBN 13 : 9780821870624
Total Pages : 380 pages
Book Rating : 4.8/5 (76 download)

DOWNLOAD NOW!

Book Synopsis Quadratic Assignment and Related Problems by : Panos M. Pardalos

Download or read book Quadratic Assignment and Related Problems written by Panos M. Pardalos and published by American Mathematical Soc.. This book was released on 1994-01-01 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The methods described here include eigenvalue estimates and reduction techniques for lower bounds, parallelization, genetic algorithms, polyhedral approaches, greedy and adaptive search algorithms.

Combinatorial Optimization and Applications

Author : Zaixin Lu
Publisher : Springer
ISBN 13 : 3319266268
Total Pages : 810 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Combinatorial Optimization and Applications by : Zaixin Lu

Download or read book Combinatorial Optimization and Applications written by Zaixin Lu and published by Springer. This book was released on 2015-12-08 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Combinatorial Optimization and Applications, COCOA 2015, held in Houston, TX, USA, in December 2015. The 59 full papers included in the book were carefully reviewed and selected from 125 submissions. Topics covered include classic combinatorial optimization; geometric optimization; network optimization; applied optimization; complexity and game; and optimization in graphs.

Sensor Data Analysis and Management

Author : A. Suresh
Publisher : John Wiley & Sons
ISBN 13 : 1119682487
Total Pages : 228 pages
Book Rating : 4.1/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Sensor Data Analysis and Management by : A. Suresh

Download or read book Sensor Data Analysis and Management written by A. Suresh and published by John Wiley & Sons. This book was released on 2021-11-11 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.

Measurement, Judgment, and Decision Making

Author : Michael H. Birnbaum
Publisher : Elsevier
ISBN 13 : 008053600X
Total Pages : 387 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Measurement, Judgment, and Decision Making by : Michael H. Birnbaum

Download or read book Measurement, Judgment, and Decision Making written by Michael H. Birnbaum and published by Elsevier. This book was released on 1997-11-27 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measurement, Judgment, and Decision Making provides an excellent introduction to measurement, which is one of the most basic issues of the science of psychology and the key to science. Written by leading researchers, the book covers measurement, psychophysical scaling, multidimensional scaling, stimulus categorization, and behavioral decision making. Each chapter provides a useful handbook summary and unlocks the door for a scholar who desires entry to that field. Any psychologist who manipulates an independent variable that affects a psychological construct or who uses a numerical dependent variable to measure a psychological construct will want to study this book. Written by leading researchers in fields of measurement, psychophysical scaling, multidimensional scaling, stimulus categorization, and behavioral decision making Provides basic definitions and summaries of theories Presents summaries and citations to relevant literature Contains new developments, current controversies, and open questions Explains relationships among fields and historical links

Handbook of Combinatorial Optimization

Author : Ding-Zhu Du
Publisher : Springer Science & Business Media
ISBN 13 : 1461303036
Total Pages : 2410 pages
Book Rating : 4.4/5 (613 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Combinatorial Optimization by : Ding-Zhu Du

Download or read book Handbook of Combinatorial Optimization written by Ding-Zhu Du and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 2410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics).

Handbook of combinatorial optimization

Author : Dingzhu Du
Publisher : Springer Science & Business Media
ISBN 13 : 9780792352938
Total Pages : 774 pages
Book Rating : 4.3/5 (529 download)

DOWNLOAD NOW!

Book Synopsis Handbook of combinatorial optimization by : Dingzhu Du

Download or read book Handbook of combinatorial optimization written by Dingzhu Du and published by Springer Science & Business Media. This book was released on 1998-12-15 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second of a multi-volume set. The various volumes deal with several algorithmic approaches for discrete problems as well as with many combinatorial problems. The emphasis is on late-1990s developments. Each chapter is essentially expository in nature, but scholarly in its treatment.

Permutation Tests

Author : Phillip Good
Publisher : Springer Science & Business Media
ISBN 13 : 147573235X
Total Pages : 288 pages
Book Rating : 4.4/5 (757 download)

DOWNLOAD NOW!

Book Synopsis Permutation Tests by : Phillip Good

Download or read book Permutation Tests written by Phillip Good and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step manual on the application of permutation tests in biology, business, medicine, science, and engineering. Its intuitive and informal style make it ideal for students and researchers, whether experienced or coming to these resampling methods for the first time. The real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are all dealt with at length. This new edition has more than 100 additional pages, and includes streamlined statistics for the k-sample comparison and analysis of variance plus expanded sections on computational techniques, multiple comparisons, multiple regression, comparing variances, and testing interactions in balanced designs. The comprehensive author and subject indexes, plus an expert-system guide to methods, provide for further ease of use, while the exercises at the end of every chapter have been supplemented with drills and a number of graduate-level thesis problems.

Clustering and Classification

Author : Phipps Arabie
Publisher : World Scientific
ISBN 13 : 9789810212872
Total Pages : 508 pages
Book Rating : 4.2/5 (128 download)

DOWNLOAD NOW!

Book Synopsis Clustering and Classification by : Phipps Arabie

Download or read book Clustering and Classification written by Phipps Arabie and published by World Scientific. This book was released on 1996 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.

Normal Approximation by Stein’s Method

Author : Louis H.Y. Chen
Publisher : Springer Science & Business Media
ISBN 13 : 3642150071
Total Pages : 411 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Normal Approximation by Stein’s Method by : Louis H.Y. Chen

Download or read book Normal Approximation by Stein’s Method written by Louis H.Y. Chen and published by Springer Science & Business Media. This book was released on 2010-10-13 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its introduction in 1972, Stein’s method has offered a completely novel way of evaluating the quality of normal approximations. Through its characterizing equation approach, it is able to provide approximation error bounds in a wide variety of situations, even in the presence of complicated dependence. Use of the method thus opens the door to the analysis of random phenomena arising in areas including statistics, physics, and molecular biology. Though Stein's method for normal approximation is now mature, the literature has so far lacked a complete self contained treatment. This volume contains thorough coverage of the method’s fundamentals, includes a large number of recent developments in both theory and applications, and will help accelerate the appreciation, understanding, and use of Stein's method by providing the reader with the tools needed to apply it in new situations. It addresses researchers as well as graduate students in Probability, Statistics and Combinatorics.

Stein's Method and Applications

Author : A. D. Barbour
Publisher : World Scientific
ISBN 13 : 9812562818
Total Pages : 320 pages
Book Rating : 4.8/5 (125 download)

DOWNLOAD NOW!

Book Synopsis Stein's Method and Applications by : A. D. Barbour

Download or read book Stein's Method and Applications written by A. D. Barbour and published by World Scientific. This book was released on 2005 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stein's startling technique for deriving probability approximations first appeared about 30 years ago. Since then, much has been done to refine and develop the method, but it is still a highly active field of research, with many outstanding problems, both theoretical and in applications. This volume, the proceedings of a workshop held in honour of Charles Stein in Singapore, August 1983, contains contributions from many of the mathematicians at the forefront of this effort. It provides a cross-section of the work currently being undertaken, with many pointers to future directions. The papers in the collection include applications to the study of random binary search trees, Brownian motion on manifolds, Monte-Carlo integration, Edgeworth expansions, regenerative phenomena, the geometry of random point sets, and random matrices.

Social Network Analysis

Author : Stanley Wasserman
Publisher : Cambridge University Press
ISBN 13 : 9780521387071
Total Pages : 852 pages
Book Rating : 4.3/5 (87 download)

DOWNLOAD NOW!

Book Synopsis Social Network Analysis by : Stanley Wasserman

Download or read book Social Network Analysis written by Stanley Wasserman and published by Cambridge University Press. This book was released on 1994-11-25 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.