Mathe Explorative Datenanalyse

Download Mathe Explorative Datenanalyse full books in PDF, epub, and Kindle. Read online Mathe Explorative Datenanalyse ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Explorative Datenanalyse

Author : N. Victor
Publisher : Springer
ISBN 13 : 9783540102816
Total Pages : 211 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Explorative Datenanalyse by : N. Victor

Download or read book Explorative Datenanalyse written by N. Victor and published by Springer. This book was released on 1980-01-01 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explorative Datenanalyse wurde von Andrews (1) definiert als 'manipu lation, summarization, and display of data to make them more compre hensible to human minds, thus uncovering underlying strnctures in the data and detecting important departures from that structure'. Besonders das 'Aufdecken wichtiger Unterschiede in den beobachteten Strukturen' und das 'Zuganglichmachen fur den menschlichen Verstand' lassen die explorativen Verfahren als geeignete Datenanalyseinstrumente in der medizinischen Qualitatssicherung erscheinen. Unter medizinischer Qualitatssicherung sei hier die Sicherung der Qualitat arztlichen Handelns und weniger die Qualitatskontrolle medizi nisch-technischer Gerate verstanden, wohl wissend, daB cas Funktionie ren der Qualitatskontrolle im technischen Bereich (Labor, Rontgendia gnostik etc.) eine wesentliche Voraussetzung fur eine gute Qualitat arztlichen Handelns ist. Der medizin-technische Bereich ist als ein Sonderproblem der Qualitatssicherung arztlichen Handelns anzusehen. Die Abgrenzungen sind jedoch unscharf, wie z.B. die Sicherung der Be~un dungsqualitat in der Pathologie zeigt, wo ohne medizinische und fur das arztliche Handeln relevante Informationen eine sinnvolle Qualitatssi cherung kaurn betrieben werden kann. Anwendungsfelder ZIELE Das Bi-Cycle-Modell von Brown (2) beschreibt die ... @ IJJ einzelnen Schritte, die DEFINITION BEOBACHTUNG VON KRITERIEN PROBLEMERKENNUNG ..... im Rahmen einer routine UN 0 STANDARDS bzw. -VERIFIZIERUNG maBigen Qualitatssiche ,J,. rung arztlichen Handelns 5 @ durchlaufen werden mussen FORTBILDUNG PROBLEMANALYSE (Abb.1). Nach der Zieldefiniton, ,J,.

Explorative Datenanalyse

Author : N. Victor
Publisher :
ISBN 13 : 9780387102818
Total Pages : 211 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Explorative Datenanalyse by : N. Victor

Download or read book Explorative Datenanalyse written by N. Victor and published by . This book was released on 1980 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications, Basics, and Computing of Exploratory Data Analysis

Author : Paul F. Velleman
Publisher : Wadsworth Publishing Company
ISBN 13 : 9780871504098
Total Pages : 354 pages
Book Rating : 4.5/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Applications, Basics, and Computing of Exploratory Data Analysis by : Paul F. Velleman

Download or read book Applications, Basics, and Computing of Exploratory Data Analysis written by Paul F. Velleman and published by Wadsworth Publishing Company. This book was released on 1981-01-01 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Exploratory and Multivariate Data Analysis

Author : Michel Jambu
Publisher : Elsevier
ISBN 13 : 0080923674
Total Pages : 489 pages
Book Rating : 4.0/5 (89 download)

DOWNLOAD NOW!

Book Synopsis Exploratory and Multivariate Data Analysis by : Michel Jambu

Download or read book Exploratory and Multivariate Data Analysis written by Michel Jambu and published by Elsevier. This book was released on 1991-09-09 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques. - Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones - Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples - Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques

Exploratory Data Analysis

Author : Frederick Hartwig
Publisher : SAGE
ISBN 13 : 9780803913707
Total Pages : 88 pages
Book Rating : 4.9/5 (137 download)

DOWNLOAD NOW!

Book Synopsis Exploratory Data Analysis by : Frederick Hartwig

Download or read book Exploratory Data Analysis written by Frederick Hartwig and published by SAGE. This book was released on 1979 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the underlying principles, central concepts, and basic techniques for conducting and understanding exploratory data analysis - with numerous social science examples.

Exploratory Data Analysis with R

Author : Roger Peng
Publisher : Lulu.com
ISBN 13 : 1365060063
Total Pages : 210 pages
Book Rating : 4.3/5 (65 download)

DOWNLOAD NOW!

Book Synopsis Exploratory Data Analysis with R by : Roger Peng

Download or read book Exploratory Data Analysis with R written by Roger Peng and published by Lulu.com. This book was released on 2016 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the date you have. We will cover in detail the plotting systems in R as well as some of the basic principles of contructing informative data graphics. We will also cover some of the common multivariate statistical techniques uses to visualize high-dimensional data. Some of the topics we cover are making exploratory graphs, principles of analytic graphics, plotting systems and graphics devices in R, the base and ggplot2 plotting systems in R, clustering methods, and dimension reduction techniques. (Quelle: buchcover).

Modern Data Analysis

Author : Robert L. Launer
Publisher : Academic Press
ISBN 13 : 1483263061
Total Pages : 216 pages
Book Rating : 4.4/5 (832 download)

DOWNLOAD NOW!

Book Synopsis Modern Data Analysis by : Robert L. Launer

Download or read book Modern Data Analysis written by Robert L. Launer and published by Academic Press. This book was released on 2014-05-12 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Exploratory Data Analysis with MATLAB

Author : Wendy L. Martinez
Publisher : CRC Press
ISBN 13 : 0203483375
Total Pages : 430 pages
Book Rating : 4.2/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez

Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2004-11-29 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger a

Understanding Robust and Exploratory Data Analysis

Author : David C. Hoaglin
Publisher :
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!

Book Synopsis Understanding Robust and Exploratory Data Analysis by : David C. Hoaglin

Download or read book Understanding Robust and Exploratory Data Analysis written by David C. Hoaglin and published by . This book was released on 1983 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textbook on robust and exploratory data analysis and related statistical methods - covers stem-and-leaf displays, letter values, boxplots and batch graphic displays, resistant lines, analysis of two- way tables by medians, examining residuals, mathematical aspects of transformation, scale estimators, comparison of location estimators, confidence intervals for location, etc. References.

Exploratory Data Analysis with MATLAB

Author : Wendy L. Martinez
Publisher : Chapman & Hall/CRC
ISBN 13 : 9781498776066
Total Pages : 0 pages
Book Rating : 4.7/5 (76 download)

DOWNLOAD NOW!

Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez

Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by Chapman & Hall/CRC. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the various methods used for exploratory data analysis with an emphasis on MATLAB implementation. It covers approaches for visualizing data, data tours and animations, clustering (or unsupervised learning), dimensionality reduction, and more. A set of graphical user interfaces allows users to apply the ideas to their own data.

Analysis of Symbolic Data

Author : Hans-Hermann Bock
Publisher : Springer Science & Business Media
ISBN 13 : 3642571557
Total Pages : 444 pages
Book Rating : 4.6/5 (425 download)

DOWNLOAD NOW!

Book Synopsis Analysis of Symbolic Data by : Hans-Hermann Bock

Download or read book Analysis of Symbolic Data written by Hans-Hermann Bock and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex data. Several benchmark examples from National Statistical Offices illustrate the usefulness of the methods. The book contains an extensive bibliography and a subject index.

Learning from Computers: Mathematics Education and Technology

Author : Christine Keitel-Kreidt
Publisher : Springer Science & Business Media
ISBN 13 : 3642785425
Total Pages : 351 pages
Book Rating : 4.6/5 (427 download)

DOWNLOAD NOW!

Book Synopsis Learning from Computers: Mathematics Education and Technology by : Christine Keitel-Kreidt

Download or read book Learning from Computers: Mathematics Education and Technology written by Christine Keitel-Kreidt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NATO Advanced Research Workshop on Mathematics Education and Technology was held in Villard-de-Lans, France, between May 6 and 11, 1993. Organised on the initiative of the BaCoMET (Basic Components of Mathematics Education for Teachers) group (Christiansen, Howson and Otte 1986; Bishop, Mellin-Olsen and van Dormolen 1991), the workshop formed part of a larger NATO programme on Advanced Educational Technology. Some workshop members had already participated in earlier events in this series and were able to contribute insights from them: similarly some members were to take part in later events. The problematic for the workshop drew attention to important speculative developments in the applications of advanced information technology in mathematics education over the last decade, notably intelligent tutoring, geometric construction, symbolic algebra and statistical analysis. Over the same period, more elementary forms of information technology had started to have a significant influence on teaching approaches and curriculum content: notably arithmetic and graphic calculators; standard computer tools, such as spreadsheets and databases; and computer-assisted learning packages and computer microworlds specially designed for educational purposes.

Exploratory Data Analysis

Author : John Wilder Tukey
Publisher : Addison-Wesley Publishing Company
ISBN 13 :
Total Pages : 714 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!

Book Synopsis Exploratory Data Analysis by : John Wilder Tukey

Download or read book Exploratory Data Analysis written by John Wilder Tukey and published by Addison-Wesley Publishing Company. This book was released on 1977 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as an introductory text for exploratory data analysis. It exposes readers and users to a variety of techniques for looking more effectively at data. The emphasis is on general techniques, rather than specific problems.

Mathematics of Uncertainty

Author : Hans Bandemer
Publisher : Springer
ISBN 13 : 3540312285
Total Pages : 199 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Mathematics of Uncertainty by : Hans Bandemer

Download or read book Mathematics of Uncertainty written by Hans Bandemer and published by Springer. This book was released on 2008-01-25 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to wavelets, from error propagation to fuzzy sets and neural networks. The book presents the treatment of problems of interpolation and approximation, as well as observation fuzziness which can essentially influence the preciseness and reliability of statements on functional relationships. The notions of randomness and probability are examined as a model for the variability of observation and measurement results. Besides these basic ideas the book also presents methods of qualitative data analysis such as cluster analysis and classification, and of evaluation of functional relationships such as regression analysis and quantitative fuzzy data analysis.

Data Structures for Computational Statistics

Author : Sigbert Klinke
Publisher : Springer Science & Business Media
ISBN 13 : 3642592422
Total Pages : 287 pages
Book Rating : 4.6/5 (425 download)

DOWNLOAD NOW!

Book Synopsis Data Structures for Computational Statistics by : Sigbert Klinke

Download or read book Data Structures for Computational Statistics written by Sigbert Klinke and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. During the nineties the hardware has developed from the big main frames to personal workstations. Nowadays it is not only the hardware which is much more powerful, but workstations can do much more work than a main frame, compared to the seventies. In parallel we find a specialization in the software. Languages like COBOL for business orientated programming or Fortran for scientific computing only marked the beginning. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven ties some special languages like SAS or SPSS were available for statisticians. Now that personal computers have become very popular the number of pro grams start to explode. Today we will find a wide variety of programs for almost any statistical purpose (Koch & Haag 1995).

Handbook of Digital Resources in Mathematics Education

Author : Birgit Pepin
Publisher : Springer Nature
ISBN 13 : 303145667X
Total Pages : 1405 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Digital Resources in Mathematics Education by : Birgit Pepin

Download or read book Handbook of Digital Resources in Mathematics Education written by Birgit Pepin and published by Springer Nature. This book was released on with total page 1405 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis of Distributional Data

Author : Paula Brito
Publisher : CRC Press
ISBN 13 : 1498725465
Total Pages : 404 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Analysis of Distributional Data by : Paula Brito

Download or read book Analysis of Distributional Data written by Paula Brito and published by CRC Press. This book was released on 2022-04-27 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a time when increasingly larger and complex data collections are being produced, it is clear that new and adaptive forms of data representation and analysis have to be conceived and implemented. Distributional data, i.e., data where a distribution rather than a single value is recorded for each descriptor, on each unit, come into this framework. Distributional data may result from the aggregation of large amounts of open/collected/generated data, or it may be directly available in a structured or unstructured form, describing the variability of some features. This book provides models and methods for the representation, analysis, interpretation, and organization of distributional data, taking into account its specific nature, and not relying on a reduction to single values, to be conform to classical paradigms. Conceived as an edited book, gathering contributions from multiple authors, the book presents alternative representations and analysis’ methods for distributional data of different types, and in particular, -Uni- and bi-variate descriptive statistics for distributional data -Clustering and classification methodologies -Methods for the representation in low-dimensional spaces -Regression models and forecasting approaches for distribution-valued variables Furthermore, the different chapters -Feature applications to show how the proposed methods work in practice, and how results are to be interpreted, -Often provide information about available software. The methodologies presented in this book constitute cutting-edge developments for stakeholders from all domains who produce and analyse large amounts of complex data, to be analysed in the form of distributions. The book is hence of interest for companies operating not only in the area of data analytics, but also on logistics, energy and finance. It also concerns national statistical institutes and other institutions at European and international level, where microdata is aggregated to preserve confidentiality and allow for analysis at the appropriate regional level. Academics will find in the analysis of distributional data a challenging up-to-date field of research.