Statistical Data Analysis

Author: Glen Cowan

Publisher: Oxford University Press

ISBN: 0198501560

Category: Mathematics

Page: 197

View: 4721

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This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).

Data Analysis

A Bayesian Tutorial

Author: Devinderjit Sivia,John Skilling

Publisher: OUP Oxford

ISBN: 0191546704

Category: Mathematics

Page: 264

View: 1001

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Error Analysis with Applications in Engineering

Author: Zbigniew A. Kotulski,Wojciech Szczepinski

Publisher: Springer Science & Business Media

ISBN: 9048135702

Category: Technology & Engineering

Page: 270

View: 559

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Our intention in preparing this book was to present in as simple a manner as possible those branches of error analysis which ?nd direct applications in solving various problems in engineering practice. The main reason for writing this text was the lack of such an approach in existing books dealing with the error calculus. Most of books are devoted to mathematical statistics and to probability theory. The range of applications is usually limited to the problems of general statistics and to the analysis of errors in various measuring techniques. Much less attention is paid in these books to two-dimensional and three-dim- sional distributions, and almost no attention is given to problems connected with the two-dimensional and three-dimensional vectorial functions of independent random variables. The theory of such vectorial functions ?nds new applications connected, for example, with analysis of the positioning accuracy of various mechanisms, among them of robot manipulators and automatically controlled earth-moving and loading machines, such as excavators.

Practical Methods for Reliability Data Analysis

Author: J. I. Ansell,M. J. Phillips

Publisher: Oxford University Press

ISBN: 9780198536642

Category: Mathematics

Page: 240

View: 9640

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This is a practical text for those who wish to analyse data from Reliability studies. The emphasis is on clear explanation of the techniques used, supported by extensive mathematical and statistical background and nature of the data before it is analysed. There are chapters on survivalanalysis, using illuminating case studies.

Detektoren für Teilchenstrahlung

Author: Konrad Kleinknecht

Publisher: Springer-Verlag

ISBN: 3322822052

Category: Science

Page: 245

View: 5120

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Der Leser erhält einen umfassenden Überblick über Aufbau und Funktionsweise von Teilchendetektoren. In der 4. Auflage werden neuere Entwicklungen wie Silizium-Streifendetektoren, Pixeldetektoren, szintillierende Fasern, neue elektromagnetische Kalorimeter und kompensierende Hadronkalorimeter behandelt. Vertiefend wird nun auch auf aktuelle Forschungsgebiete wie Astroteilchenphysik, kosmische Strahlung, Neutrinophysik und die dunkle Materie im Kosmos eingegangen.

Statistik-Workshop für Programmierer

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 9441

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Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Statistical Modelling in GLIM

Author: Murray Aitkin

Publisher: Oxford University Press

ISBN: 9780198522034

Category: Mathematics

Page: 374

View: 1743

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The analysis of data by statistical modelling is becoming increasingly important. This book presents both the theory of statistical modelling with generalized linear models and the application of the theory to practical problems using the widely available package GLIM. The authors have takenpains to integrate the theory with many practical examples which illustrate the value of interactive statistical modelling. Throughout the book theoretical issues of formulating and simplifying models are discussed, as are problems of validating the models by the detection of outliers and influential observations. The book arises from short courses given at the University of Lancaster's Centre for Applied Statistics, with an emphasis on practical programming in GLIM and numerous examples. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential andWeibull distributions. A feature of the book is a detailed discussion of survival analysis. Statisticians working in a wide range of fields, including biomedical and social sciences, will find this book an invaluable desktop companion to aid their statistical modelling. It will also provide a text for students meeting the ideas of statistical modelling for the first time.

Your Statistical Consultant

Answers to Your Data Analysis Questions

Author: Rae R. Newton,Kjell Erik Rudestam

Publisher: SAGE Publications

ISBN: 1452289654

Category: Social Science

Page: 384

View: 6741

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Although many graduate students and researchers have had course work in statistics, they sometimes find themselves stumped in proceeding with a particular data analysis question. In fact, statistics is often taught as a lesson in mathematics as opposed to a strategy for answering questions about world[?], leaving beginning researchers at a loss for how to proceed. In these situations, it is common to turn to a statistical expert, the "go to" person when questions regarding appropriate data analysis emerge. Your Statistical Consultant is an authentic alternative resource for describing, explaining, and making recommendations regarding thorny or confusing statistical issues. Written to be responsive to a wide range of inquiries and levels of expertise, this book is flexibly organized so readers can either read it sequentially or turn directly to the sections that correspond to their concerns and questions.

Statistik für Dummies

Author: Deborah J. Rumsey

Publisher: John Wiley & Sons

ISBN: 3527692762

Category: Education

Page: 355

View: 2581

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Von A wie Ausreißer bis Z wie Z-Verteilung Entdecken Sie mit Statistik für Dummies Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen dieser komplizierten, aber hilfreichen Wissenschaft! Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, sodass Ihnen keiner mehr etwas vormachen kann!

Statistik II für Dummies

Author: Deborah J. Rumsey

Publisher: John Wiley & Sons

ISBN: 3527669248

Category: Mathematics

Page: 372

View: 460

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Vom Absolutrang bis zum Zweifach-Varianzanalysemodell – alles, was Sie über weiterführende Statistik wissen sollten Es gibt Qualen, große Qualen und Statistik, so sehen es viele Studenten. Mit diesem Buch lernen Sie weiterführende Statistik so leicht wie möglich. Deborah Rumsey zeigt Ihnen, wie Sie Varianzanalysen und Chi-Quadrat-Tests berechnen, wie Sie mit Regressionen arbeiten, ein Modell erstellen, Korrelationen bilden, nichtparametrische Prozeduren durchführen und vieles mehr. Aber auch die Grundlagen der Statistik bleiben nicht außen vor und deshalb erklärt Ihnen die Autorin, was Sie zu Mittelwerten, Vertrauensintervallen und Co wissen sollten. So lernen Sie die Methoden, die Sie brauchen, und erhalten das Handwerkszeug, um erfolgreich Ihre Statistikprüfungen zu bestehen. Sie erfahren: • Wie Sie mit multiplen Regressionen umgehen • Was es mit dem Vorzeichentest und dem Vorzeichenrangtest auf sich hat • Wie Sie sich innerhalb der statistischen Techniken zurechtfinden • Was das richtige Regressionsmodell für Ihre Analyse ist • Wie Regression und ANOVA zusammenhängen

Aspects of Multivariate Statistical Analysis in Geology

Author: E. Savazzi,R.A. Reyment

Publisher: Elsevier

ISBN: 9780080527611

Category: Science

Page: 285

View: 2249

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The book presents multivariate statistical methods useful in geological analysis. The essential distinction between multivariate analysis as applied to full-space data (measurements on lengths, heights, breadths etc.) and compositional data is emphasized with particular reference to geochemical data. Each of the methods is accompanied by a practically oriented computer program and backed up by appropriate examples. The computer programs are provided on a compact disk together with trial data-sets and examples of the output. An important feature of this book is the graphical system developed by Dr. Savazzi which is entitled Graph Server. Geological data often deviate from ideal statistical requirements. For this reason, close attention has been paid to the analysis of data that contain atypical observations.

Chemometrics in Environmental Analysis

Author: Jürgen W. Einax,Heinz W. Zwanziger,Sabine Geiß

Publisher: John Wiley & Sons

ISBN: 9783527287727

Category: Science

Page: 384

View: 9241

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J. W. Einax, H. W. Zwanziger S. Gei Chemometrics in Environmental Analysis Make the most of your data! This new title will serve both as an introduction and as a practical guide to those techniques of chemometrics which are applicable to environmental analysis. By describing the optimum methods of data analysis it will help all chemists in this field to save time and money. Because the authors demonstrate the most important chemometric methods with the aid of numerous examples, the reader will learn to solve a given problem by use of the appropriate method. Applications range from sampling, through laboratory analysis, to evaluation. Interpretation of the findings is explained clearly. The text covers not only basic methods such as univariate statistics, regression analysis, and statistical test planning, but also multivariate data analysis, for example, cluster analysis, principal components analysis, and factor and discriminant analysis. Case studies show the enormous possibilities, and the limits, of chemometric methods. The book will help all environmental analytical scientists, even those with only a basic knowledge of mathematics, to optimize the evaluation and interpretation of the results of their measurements.

SPSS 16

Einführung in die moderne Datenanalyse

Author: Achim Bühl

Publisher: Pearson Deutschland GmbH

ISBN: 9783827373328

Category: SPSS (Computer system)

Page: 888

View: 9011

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Die Standardeinführung für SPSS ist auf der Basis zahlreicher neuer Datensätze für die Version 16 vollständig überarbeitet und erweitert worden. Ausgehend von Problemstellungen aus der Praxis wird gezeigt, wie Sie mit SPSS arbeiten können. Die Beispiele basieren meist auf Fallstudien und sind vor allem dem sozialwissenschaftlichen und dem psychologisch-medizinischen Bereich entnommen. Der Autor beschreibt ausführlich den kompletten statistischen Inhalt der Module Base, Regression Models und Advanced Models. In der 11. Auflage des Werks nimmt erstmals auch die Korrespondenzanalyse einen breiten Raum ein; ein Verfahren, das immer häufiger eingesetzt wird und Zusammenhänge von Variablen optisch als Punkte eines geometrischen Raums aufbereitet.

The Oxford Handbook of Panel Data

Author: Badi H. Baltagi

Publisher: Oxford University Press

ISBN: 0190210826

Category: Social Science

Page: 512

View: 9715

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The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels. This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.

Bayesian Statistics 9

Author: José M. Bernardo,M. J. Bayarri,James O. Berger,A. P. Dawid,David Heckerman

Publisher: Oxford University Press

ISBN: 0199694583

Category: Mathematics

Page: 706

View: 9954

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Bayesian statistics is a dynamic and fast-growing area of statistical research and the Valencia International Meetings provide the main forum for discussion. These resulting proceedings form an up-to-date collection of research.

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

Author: Raphaël Mourad

Publisher: OUP Oxford

ISBN: 0191019208

Category: Mathematics

Page: 464

View: 3275

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Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-called 'omics' data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning, probabilistic graphical models (PGMs) represent a powerful formalism to discover complex networks of relations. These models are also amenable to incorporating a priori biological information. Network reconstruction from gene expression data represents perhaps the most emblematic area of research where PGMs have been successfully applied. However these models have also created renewed interest in genetics in the broad sense, in particular regarding association genetics, causality discovery, prediction of outcomes, detection of copy number variations, and epigenetics. This book provides an overview of the applications of PGMs to genetics, genomics and postgenomics to meet this increased interest. A salient feature of bioinformatics, interdisciplinarity, reaches its limit when an intricate cooperation between domain specialists is requested. Currently, few people are specialists in the design of advanced methods using probabilistic graphical models for postgenomics or genetics. This book deciphers such models so that their perceived difficulty no longer hinders their use and focuses on fifteen illustrations showing the mechanisms behind the models. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics covers six main themes: (1) Gene network inference (2) Causality discovery (3) Association genetics (4) Epigenetics (5) Detection of copy number variations (6) Prediction of outcomes from high-dimensional genomic data. Written by leading international experts, this is a collection of the most advanced work at the crossroads of probabilistic graphical models and genetics, genomics, and postgenomics. The self-contained chapters provide an enlightened account of the pros and cons of applying these powerful techniques.

GAMMA

Eulers Konstante, Primzahlstrände und die Riemannsche Vermutung

Author: Julian Havil

Publisher: Springer-Verlag

ISBN: 3540484965

Category: Mathematics

Page: 302

View: 1559

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Jeder kennt p = 3,14159..., viele kennen e = 2,71828..., einige i. Und dann? Die "viertwichtigste" Konstante ist die Eulersche Zahl g = 0,5772156... - benannt nach dem genialen Leonhard Euler (1707-1783). Bis heute ist unbekannt, ob g eine rationale Zahl ist. Das Buch lotet die "obskure" Konstante aus. Die Reise beginnt mit Logarithmen und der harmonischen Reihe. Es folgen Zeta-Funktionen und Eulers wunderbare Identität, Bernoulli-Zahlen, Madelungsche Konstanten, Fettfinger in Wörterbüchern, elende mathematische Würmer und Jeeps in der Wüste. Besser kann man nicht über Mathematik schreiben. Was Julian Havil dazu zu sagen hat, ist spektakulär.

Statistical Models in Epidemiology

Author: David Clayton,Michael Hills

Publisher: OUP Oxford

ISBN: 0191650919

Category: Medical

Page: 384

View: 2666

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This self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.

Data Analysis for Chemists

Applications to QSAR and Chemical Product Design

Author: David Livingstone

Publisher: Oxford University Press

ISBN: 0198557280

Category: Science

Page: 239

View: 1163

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Most chemists who wish to interpret and analyse data want to know how to use analytical techniques but are not concerned with the details of statistical theory. This practical guide provides just the information they need, and gives them the necessary tools to use analytical methods effectively, interpret results, and avoid pitfalls. The most common mathematical and statistical methods used to analyse chemical data are described and explained through the use of a wide range of examples. These are drawn particularly from pharmaceutical and agrochemical design, with emphasis placed on the generation of quantitative structure-activity relationships. By including multivariate methodology, the book shows chemists how to use and interpret important analytical techniques which are usually reserved for statisticians. This is a "how to" book written for chemists and other scientists who do not need to know the details of statistical theory but who want to use analytical methods, interpret results, and avoid pitfalls.