introduction to data envelopment analysis and its uses

Introduction to Data Envelopment Analysis and Its Uses

Introduction to Data Envelopment Analysis and Its Uses: Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References has been carefully designed by the authors to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. The authors have been involved in DEA's development from the beginning. William Cooper (with Abraham Charnes and Edwardo Rhodes) is a founder of DEA. Lawrence Seiford and Kaoru Tone have been actively involved as researchers and practitioners from its earliest beginnings. All have been deeply involved in uses of DEA in practical applications as well as in the development of its basic theory and methodologies. The result is a textbook grounded in authority, experience and substance.

Statistics and Data Analysis: From Elementary to

Introducing the concepts and methods of modern statistics with an emphasis on computer assisted data analysis,the book focuses on interpretation of results rather than their computation.Review of probability,collecting data,summarizing and exploring data,sampling distributions of statistics,basic concepts of inference,linear regression and correlation,analysis of single factor and multifactor Experiments.

An Introduction To Symbolism And Its Relation To Religion in

An Introduction To Symbolism And Its Relation To Religion Availability: In stock ISBN No.: Contributors/Editors: Thomas W. Segady, Swati Shirwadkar Publisher: Koros Press Pub. Date: Price: £

An Introduction To Symbolism And Its Relation To Religion in

Publisher: Koros Press ISBN No.: An Introduction To Symbolism And Its Relation To Religion Contributors/Editors: Thomas W. Segady, Swati Shirwadkar Pub. Date: Price: £ http://www.korospress.com/philosophy/-An_Introduction_To_Symbolism_And_Its_Relation_To_Religion.html

An introduction to Genetic Analysis 5th edition

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Symmetry Studies: An Introduction to the Analysis of

Experimental data can often be associated with or indexed by certain symmetrically interesting structures or sets of labels that appear,for example,in the study of short symbolic sequences in molecular biology,in preference or voting data,in (corneal) curvature data,and in studies of the handedness and entropy of symbolic sequences and elementary images. The symmetry studies introduced in this book describe the interplay among symmetry transformations that are characteristic of these sets of labels,th

Introduction to genetic analysis tenth edition (Hardcover) - mint condition

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A Concise Introduction to Data Compression

A Concise Introduction to Data Compression: Compression is an option naturally selected when faced with problems of high costs or restricted space. This book offers readers a succinct and reader-friendly foundation to the most important topics in the field of data compression. Divided into two parts, Part I presents the basic approaches to data compression and describes a few popular techniques and methods that are commonly used to compress data. The reader discovers essential concepts, such as variable-length and prefix codes, statistical distribution and run-length codes. Part II concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and Burrows-Wheeler transform. Complete and clear, this book will be the perfect reference for advanced undergraduates in computer science and requires a minimum of mathematics. An author-maintained website provides readers with errata and auxiliary material.

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A Concise Introduction to Data Structures Using Java

A student-friendly text,A Concise Introduction to Data Structures Using Java takes a developmental approach,starting with simpler concepts first and then building toward greater complexity. Important topics,such as linked lists,are introduced gradually and revisited with increasing depth. More code and guidance are provided at the beginning,allowing students time to adapt to Java while also beginning to learn data structures. As students develop fluency in Java,less code is provide

The Human Brain: An Introduction to Its Functional Anatomy

ISBN: , SKU: , AUTHOR: Mosby / Nolte, John, PUBLISHER: Mosby, THE HUMAN BRAIN is a single-authored, core introductory neuroscience text that describes the structure and function of the brain and nervous system. The text covers the neuroanatomy that medical and other healthcare students need, with expanded coverage of neurophysiology and inclusion of clinical content providing real-life application of neuroanatomy and neurophysiologic concepts to clinical neurologic disorders. Its readability and enhanced full-color illustrations make it a favorite among both students and faculty.

Introduction to Genetic Analysis 10th Edition (International Edition), Hardcover.

Great genetics textbook, hardcover and in excellent condition. This international edition is for use outside the US and Canada. Used in undergrad but no longer needed. Ad ID: Delivery Service Consumer Credit

BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING Hardback-Albright and Winston

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Data Mining and Analysis: Fundamental, Concepts and

ISBN No.: Publisher: Koros Press Data Mining and Analysis: Fundamental, Concepts and Algorithms Contributors/Editors: Derya Birant, et al. Pub. Date: Price: £ http://www.korospress.com/computer-information-technology/-Data_Mining_and_Analysis:_Fundamental,_Concepts_and_Algorithms.html

Observing Animal Behaviour: Design and Analysis of Quantitative Data: £20

One of the top books about animal behaviour science - very helpful book to have if you are designing your own behavioural experiment, collecting & analysing data. I bought it for my MSc in Animal Welfare Science, Ethics & Law and so no longer need it. It's in excellent condition - I didn't end up doing a lot on behaviour so only used it a handful of times. There's a couple of minor marks but it's almost as good as new. The book was published in and as far as I'm aware that's the most up to date version. I bought it in . I can either post this item or, if you're in the Glasgow area, am happy to drop it off wherever's convenient. Ad ID: Delivery Service Consumer Credit

Game Theory: A Nontechnical Introduction to the Analysis of Strategy (3rd Ed.) by Roger A McCain

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The Coroner's Court: Its Uses and Abuses: With Suggestions

ISBN: , SKU: , AUTHOR: Dempsy, J. J., PUBLISHER: Gale, Making of Modern Law, The Making of the Modern Law: Legal Treatises, includes over analytical, theoretical and practical works on American and British Law. It includes the writings of major legal theorists, including Sir Edward Coke, Sir William Blackstone, James Fitzjames Stephen, Frederic William Maitland, John Marshall, Joseph Story, Oliver Wendell Holmes, Jr. and Roscoe Pound, among others. Legal Treatises includes casebooks, local practice manuals, form books, works for lay readers, pamphlets, letters, speeches and other works of the most influential writers of their time. It is of great value to researchers of domestic and international law, government and politics, legal history, business and economics, criminology and much more.++++The below data was compiled from various identification fields in the bibliographic record of this title. This data is provided as an additional tool in helping to insure edition identification: ++++Harvard Law School LibraryocmLondon: Hatton, p.; 20 cm.

Multi- and Megavariate Data Analysis (Part 1). L Eriksson. Umerics Academy

Text book on Multi- and Megavariate data analysis, 2nd edition, good condition. Ad ID: Delivery Service Consumer Credit

Data Analysis

Data Analysis: This book bridges the gap between statistical theory and physcal experiment. It provides a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. An accompanying CD-ROM provides detailed code (in Fortran77 and in C) for implementing many of these algorithms (for IBM PS/2 or PC machines). The treatment emphasizes concise but rigorous mathematics but always retains its focus on applications. The reader is presumed to have a sound basic knowledge of differential and integral calulus and some knowledge of vectors and matrices (an appendix develops the vector and matrix methods used and provides a collection of related computer routines). After an introduction of probability, random variables, computer generation of random numbers (Monte Carlo methods) and impotrtant distributions (such as the biomial, Poisson, and normal distributions), the book turns to a discussion of statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with the discussion of several important stistical methods: least squares, analysis of variance, polynomial regression, and analysis of tiem series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae. The book is intended for graduate students setting out on experimental research, but it should also provide a useful reference and programming guide for experienced experimenters.

Analysis of Neural Data

Analysis of Neural Data: Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.

Statistical Data Analysis | Statswork in Sheffield

The statistical techniques used to perform data analysis include Mean- The arithmetic mean known as average. Standard deviation- Shows how the data is spread around the mean Regression- defines relation among variables Sample Size Determination Hypothesis Testing- The otherwise known t testing Our Quality: We offer three tier quality check process Subject Matter expertise Quality Check Quality Assurance Why You Need to choose to Statswork consulting services? Plagiarism free Unlimited Support Prompt Turnaround times Statistics across Methodologies 24/7 Email Support Contact Us: India No:

Statistical Data Analysis & Interpretation | Statswork in

Statistical Interpretation is imperative to statistical analysis and it primarily means making sense from data that has been collected and interpreting it from a statistical standpoint eventually help in achieving the study objectives. This section answers certain key questions that throw light on how statistical interpretation is conducted and addresses key issues pertaining to it. I.Regression analysis imperative to interpret data? Regression analysis is used in a scenario where a linear relationship between two or more variables needs to be established. For example: if for a vehicle you need to establish a linear relation between the fuel consumption and the power output, you can establish the relation using regression analysis. So it can be said that regression analysis is not imperative to interpret data, rather depends on the objective the research is trying to accomplish. II.Linear regression to generate descriptive statistics? Descriptive statistics aims to summarize and organize a collection of information or data while linear regression aims to create a relation between one dependent variable to one or more independent variable. Our Quality - We offer three tier quality check process Subject Matter expertise Quality Check Quality Assurance Why You Need to choose to Statswork consulting services? Plagiarism free Unlimited Support Prompt Turnaround times Statistics across Methodologies 24/7 Email Support

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Investigation of data is a procedure of assessing, purging, changing, and demonstrating information with the objective of finding valuable data, proposing conclusions, and supporting basic leadership. Information investigation has numerous aspects and methodologies, including various strategies under an assortment of names, in various business, science, and sociology areas. To know more and find the best Dissertation writing services on Process of Data Analysis at TutorsPoint.com

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