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.

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.

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

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.

Guide to the Successful Thesis and Dissertation

Guide to the Successful Thesis and Dissertation
Author: James Mauch
Publisher: CRC Press
Total Pages: 359
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

CRC Standard Probability and Statistics Tables and Formulae

CRC Standard Probability and Statistics Tables and Formulae
Author: Daniel Zwillinger
Publisher: CRC Press
Total Pages: 576
Release: 1999-12-27
Genre: Mathematics
ISBN: 9781420050264

Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that. Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you. It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.

Practical Statistics for Data Scientists

Practical Statistics for Data Scientists
Author: Peter Bruce
Publisher: "O'Reilly Media, Inc."
Total Pages: 322
Release: 2017-05-10
Genre: Computers
ISBN: 1491952911

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Guide to Information Sources in Engineering

Guide to Information Sources in Engineering
Author: Charles Lord
Publisher: Bloomsbury Publishing USA
Total Pages: 360
Release: 2000-08-15
Genre: Language Arts & Disciplines
ISBN: 0313009430

The only source that focuses exclusively on engineering and technology, this important guide maps the dynamic and changing field of information sources published for engineers in recent years. Lord highlights basic perspectives, access tools, and English-language resources—directories, encyclopedias, yearbooks, dictionaries, databases, indexes, libraries, buyer's guides, Internet resources, and more. Substantial emphasis is placed on digital resources. The author also discusses how engineers and scientists use information, the culture and generation of scientific information, different types of engineering information, and the tools and resources you need to locate and access that material. Other sections describe regulations, standards and specifications, government resources, professional and trade associations, and education and career resources. Engineers, scientists, librarians, and other information professionals working with engineering and technology information will welcome this research

Methods and Models in Neurophysics

Methods and Models in Neurophysics
Author:
Publisher: Elsevier
Total Pages: 863
Release: 2004-12-11
Genre: Science
ISBN: 0080536387

Neuroscience is an interdisciplinary field that strives to understand the functioning of neural systems at levels ranging from biomolecules and cells to behaviour and higher brain functions (perception, memory, cognition). Neurophysics has flourished over the past three decades, becoming an indelible part of neuroscience, and has arguably entered its maturity. It encompasses a vast array of approaches stemming from theoretical physics, computer science, and applied mathematics. This book provides a detailed review of this field from basic concepts to its most recent development.

The Design and Analysis of Coalesced Hashing

The Design and Analysis of Coalesced Hashing
Author: Jeffrey Scott Vitter
Publisher: Oxford University Press, USA
Total Pages: 182
Release: 1987
Genre: Computers
ISBN:

Hashing, a commonly used technique for arranging data to facilitate rapid searches, is discussed from several different perspectives as an efficient solution to the classical problem of information storage and retrieval. The underlying theme is close cooperation between the analysis of algorithms and the computer world. To increase the work's accessibility to computer scientists, algorithms are given both in English and in a variant of the well-known language Pascal. Designed to appeal to as wide an audience as possible, this book serves both as a graduate text in analysis of algorithms and as a professional reference for computer scientists and programmers.