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Ranking of Multivariate Populations, Carrozzo, Eleonora


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Автор: Carrozzo, Eleonora
Название:  Ranking of Multivariate Populations
ISBN: 9781032340050
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1032340053
Обложка/Формат: Paperback
Страницы: 344
Вес: 0.48 кг.
Дата издания: 12.07.2022
Язык: English
Иллюстрации: 84 illustrations, black and white
Размер: 234 x 156
Читательская аудитория: General (us: trade)
Подзаголовок: A permutation approach with applications
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Поставляется из: Европейский союз


Ranking Of Multivariate Populations

Автор: Corain
Название: Ranking Of Multivariate Populations
ISBN: 1466505540 ISBN-13(EAN): 9781466505544
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Описание:

Ranking of Multivariate Populations: A Permutation Approach with Applications presents a novel permutation-based nonparametric approach for ranking several multivariate populations. Using data collected from both experimental and observation studies, it covers some of the most useful designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized complete block (MRCB) designs.

The first section of the book introduces the topic of ranking multivariate populations by presenting the main theoretical ideas and an in-depth literature review. The second section discusses a large number of real case studies from four specific research areas: new product development in industry, perceived quality of the indoor environment, customer satisfaction, and cytological and histological analysis by image processing. A web-based nonparametric combination global ranking software is also described.

Designed for practitioners and postgraduate students in statistics and the applied sciences, this application-oriented book offers a practical guide to the reliable global ranking of multivariate items, such as products, processes, and services, in terms of the performance of all investigated products/prototypes.

Who`s #1?

Автор: Langville Amy N
Название: Who`s #1?
ISBN: 069116231X ISBN-13(EAN): 9780691162317
Издательство: Wiley
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Цена: 3168.00 р.
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Описание: A website`s ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how ex

Probability Models and Statistical Analyses for Ranking Data

Автор: Michael A. Fligner; Joseph S. Verducci
Название: Probability Models and Statistical Analyses for Ranking Data
ISBN: 0387979204 ISBN-13(EAN): 9780387979205
Издательство: Springer
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Цена: 16769.00 р.
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Описание: In June of 1990, a conference was held on Probablity Models and Statisti- cal Analyses for Ranking Data, under the joint auspices of the American Mathematical Society, the Institute for Mathematical Statistics, and the Society of Industrial and Applied Mathematicians.

Ranking: The Unwritten Rules of the Social Game We Play

Автор: Erdi Peter
Название: Ranking: The Unwritten Rules of the Social Game We Play
ISBN: 0190935464 ISBN-13(EAN): 9780190935467
Издательство: Oxford Academ
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Цена: 5542.00 р.
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Описание: Human beings are competitive. We want to know who is the strongest, who is the richest, and who is the cleverest of all. Some situations, like ranking people based on height, can be ranked in objective ways. However, many "Top Ten" lists are based on subjective categorization and give only the
illusion of objectivity. In fact, we don't always want to be seen objectively since we don't mind having a better image or rank than deserved. Ranking: The Unwritten Rules of the Social Game We All Play applies scientific theories to everyday experience by raising and answering questions like: Are
college ranking lists objective? How do we rank and rate countries based on their fragility, level of corruption, or even happiness? How do we find the most relevant web pages? How are employees ranked?

This book is for people who have a neighbor with a fancier car; employees, who are being ranked by their supervisors; managers, who are involved in ranking but may have qualms about the process; businesspeople interested in creating better visibility for their companies; scientists, writers,
artists, and other competitors who would like to see themselves at the top of a success list; or college students who are just preparing to enter a new phase of social competition. Readers will engage in an intellectual adventure to better understand the difficulties of navigating between
objectivity and subjectivity and to better identify and modify their place in real and virtual communities by combining human and computational intelligence.

Translation editions available in German, Korean, Japanese, Complex Chinese, and Simplified Chinese.

Statistical Methods for Ranking Data

Автор: Mayer Alvo; Philip L.H. Yu
Название: Statistical Methods for Ranking Data
ISBN: 1493947818 ISBN-13(EAN): 9781493947812
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data.

Statistical Methods for Ranking Data

Автор: Mayer Alvo; Philip L.H. Yu
Название: Statistical Methods for Ranking Data
ISBN: 1493914707 ISBN-13(EAN): 9781493914708
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data.

Rankings and Preferences

Автор: Joaquim Pinto da Costa
Название: Rankings and Preferences
ISBN: 3662483432 ISBN-13(EAN): 9783662483435
Издательство: Springer
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Цена: 6986.00 р.
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Описание: In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis.We also introduce new methods of dimension reduction and clustering for time series data and describe some theoretical results on the weighted correlation coefficients in separate sections.

Multivariate Analysis for the Behavioral Sciences, Second Edition

Автор: Kimmo Vehkalahti , Brian S. Everitt
Название: Multivariate Analysis for the Behavioral Sciences, Second Edition
ISBN: 0815385153 ISBN-13(EAN): 9780815385158
Издательство: Taylor&Francis
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Цена: 13014.00 р.
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Описание: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.

Ranking and Prioritization for Multi-indicator Systems

Автор: Rainer Br?ggemann; Ganapati P. Patil
Название: Ranking and Prioritization for Multi-indicator Systems
ISBN: 1461429684 ISBN-13(EAN): 9781461429685
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This book provides axioms of partial order and some basic material, for example consequences of "criss-crossing" of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis.

SQL Server Analytical Toolkit

Автор: Bobak
Название: SQL Server Analytical Toolkit
ISBN: 1484286669 ISBN-13(EAN): 9781484286661
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Learn window function foundational concepts through a cookbook-style approach, beginning with an introduction to the OVER() clause, its various configurations in terms of how partitions and window frames are created, and how data is sorted in the partition so that the window function can operate on the partition data sets. You will build a toolkit based not only on the window functions but also on the performance tuning tools, use of Microsoft Excel to graph results, and future tools you can learn such as PowerBI, SSIS, and SSAS to enhance your data architecture skills. This book goes beyond just showing how each function works. It presents four unique use-case scenarios (sales, financial, engineering, and inventory control) related to statistical analysis, data analysis, and BI. Each section is covered in three chapters, one chapter for each of the window aggregate, ranking, and analytical function categories. Each chapter includes several TSQL code examples and is re-enforced with graphic output plus Microsoft Excel graphs created from the query output. SQL Server estimated query plans are generated and described so you can see how SQL Server processes the query. These together with IO, TIME, and PROFILE statistics are used to performance tune the query. You will know how to use indexes and when not to use indexes. You will learn how to use techniques such as creating report tables, memory enhanced tables, and creating clustered indexes to enhance performance. And you will wrap up your learning with suggested steps related to business intelligence and its relevance to other Microsoft Tools such as Power BI and Analysis Services. All code examples, including code to create and load each of the databases, are available online. What You Will Learn * Use SQL Server window functions in the context of statistical and data analysis * Re-purpose code so it can be modified for your unique applications * Study use-case scenarios that span four critical industries * Get started with statistical data analysis and data mining using TSQL queries to dive deep into data * Study discussions on statistics, how to use SSMS, SSAS, performance tuning, and TSQL queries using the OVER() clause. * Follow prescriptive guidance on good coding standards to improve code legibility Who This Book Is For Intermediate to advanced SQL Server developers and data architects. Technical and savvy business analysts who need to apply sophisticated data analysis for their business users and clients will also benefit. This book offers critical tools and analysis techniques they can apply to their daily job in the disciplines of data mining, data engineering, and business intelligence.

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Автор: Ho, Robert
Название: Handbook of Univariate and Multivariate Data Analysis with IBM SPSS
ISBN: 1439890218 ISBN-13(EAN): 9781439890219
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Multivariate Time Series with Linear State Space Structure

Автор: Gуmez Vнctor
Название: Multivariate Time Series with Linear State Space Structure
ISBN: 3319803859 ISBN-13(EAN): 9783319803852
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents a comprehensive study of multivariate time series with linear state space structure. The strength of the book also lies in the numerous algorithms included for state space models that take advantage of the recursive nature of the models.


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