The Data Analysis BriefBook

The Data Analysis BriefBook
Author: Rudolf K. Bock
Publisher: Springer Science & Business Media
Total Pages: 198
Release: 2013-03-14
Genre: Science
ISBN: 3662037254

This BriefBook is a much extended glossary or a much condensed handbook, depending on the way one looks at it. In encyclopedic format, it covers subjects in statistics, computing, analysis, and related fields, resulting in a book that is both an introduction and a reference for scientists and engineers, especially experimental physicists dealing with data analysis.

Data Analysis

Data Analysis
Author: Gérard Govaert
Publisher: John Wiley & Sons
Total Pages: 265
Release: 2013-03-04
Genre: Mathematics
ISBN: 111861786X

The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.

The Particle Detector BriefBook

The Particle Detector BriefBook
Author: Rudolf K. Bock
Publisher: Springer Science & Business Media
Total Pages: 140
Release: 2013-03-14
Genre: Science
ISBN: 3662037270

This BriefBook is a much extended glossary or a much condensed handbook, depending on the way one looks at it. It deals with detectors in particle and nuclear physics experiments. The authors describe, in encyclopedic format, the physics, the application, and the analysis of data from these detectors. Ample reference is made to the published literature. An introduction for newcomers, a reference for scientists.

Modern Data Analysis

Modern Data Analysis
Author: Robert L. Launer
Publisher: Academic Press
Total Pages: 216
Release: 2014-05-12
Genre: Mathematics
ISBN: 1483263061

Modern Data Analysis contains the proceedings of a Workshop on Modern Data Analysis held in Raleigh, North Carolina, on June 2-4, 1980 under the auspices of the United States Army Research Office. The papers review theories and methods of data analysis and cover topics ranging from single and multiple quantile-quantile (Q-Q) plotting procedures to biplot display and pencil-and-paper exploratory data analysis methods. Projection pursuit methods for data analysis are also discussed. Comprised of nine chapters, this book begins with an introduction to styles of data analysis techniques, followed by an analysis of single and multiple Q-Q plotting procedures. Problems involving extreme-value data and the behavior of sample averages are considered. Subsequent chapters deal with the use of smelting in guiding re-expression; geometric data analysis; and influence functions and regression diagnostics. The final chapter examines the use and interpretation of robust analysis of variance for the general non-full-rank linear model. The procedures are described in terms of their mathematical structure, which leads to efficient computational algorithms. This monograph should be of interest to mathematicians and statisticians.

The Data Analysis Handbook

The Data Analysis Handbook
Author: I.E. Frank
Publisher: Elsevier
Total Pages: 385
Release: 1994-09-30
Genre: Education
ISBN: 008086841X

Analyzing observed or measured data is an important step in applied sciences. The recent increase in computer capacity has resulted in a revolution both in data collection and data analysis. An increasing number of scientists, researchers and students are venturing into statistical data analysis; hence the need for more guidance in this field, which was previously dominated mainly by statisticians. This handbook fills the gap in the range of textbooks on data analysis. Written in a dictionary format, it will serve as a comprehensive reference book in a rapidly growing field. However, this book is more structured than an ordinary dictionary, where each entry is a separate, self-contained entity. The authors provide not only definitions and short descriptions, but also offer an overview of the different topics. Therefore, the handbook can also be used as a companion to textbooks for undergraduate or graduate courses. 1700 entries are given in alphabetical order grouped into 20 topics and each topic is organized in a hierarchical fashion. Additional specific entries on a topic can be easily found by following the cross-references in a top-down manner. Several figures and tables are provided to enhance the comprehension of the topics and a list of acronyms helps to locate the full terminologies. The bibliography offers suggestions for further reading.

Introduction to Statistical Analysis of Laboratory Data

Introduction to Statistical Analysis of Laboratory Data
Author: Alfred Bartolucci
Publisher: John Wiley & Sons
Total Pages: 259
Release: 2015-12-02
Genre: Mathematics
ISBN: 1118736869

Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions

Data Analysis

Data Analysis
Author: Siegmund Brandt
Publisher: Springer Science & Business Media
Total Pages: 532
Release: 2014-02-14
Genre: Science
ISBN: 3319037625

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.

Guide to the Successful Thesis and Dissertation

Guide to the Successful Thesis and Dissertation
Author: James Mauch
Publisher: CRC Press
Total Pages: 360
Release: 2003-05-29
Genre: Computers
ISBN: 1482293080

Augmented with a new bibliography and streamlined appendices, the Guide to the Successful Thesis and Dissertation, Fifth Edition views the valuable addition of references to university research libraries and advanced information on websites, online searches, electronic literature, and other modern computer methods as crucial for the successful comp

Maximum Entropy and Bayesian Methods Garching, Germany 1998

Maximum Entropy and Bayesian Methods Garching, Germany 1998
Author: Wolfgang von der Linden
Publisher: Springer Science & Business Media
Total Pages: 380
Release: 2012-12-06
Genre: Mathematics
ISBN: 9401147108

In 1978 Edwin T. Jaynes and Myron Tribus initiated a series of workshops to exchange ideas and recent developments in technical aspects and applications of Bayesian probability theory. The first workshop was held at the University of Wyoming in 1981 organized by C.R. Smith and W.T. Grandy. Due to its success, the workshop was held annually during the last 18 years. Over the years, the emphasis of the workshop shifted gradually from fundamental concepts of Bayesian probability theory to increasingly realistic and challenging applications. The 18th international workshop on Maximum Entropy and Bayesian Methods was held in Garching / Munich (Germany) (27-31. July 1998). Opening lectures by G. Larry Bretthorst and by Myron Tribus were dedicated to one of th the pioneers of Bayesian probability theory who died on the 30 of April 1998: Edwin Thompson Jaynes. Jaynes revealed and advocated the correct meaning of 'probability' as the state of knowledge rather than a physical property. This inter pretation allowed him to unravel longstanding mysteries and paradoxes. Bayesian probability theory, "the logic of science" - as E.T. Jaynes called it - provides the framework to make the best possible scientific inference given all available exper imental and theoretical information. We gratefully acknowledge the efforts of Tribus and Bretthorst in commemorating the outstanding contributions of E.T. Jaynes to the development of probability theory.