Search Results for "intro-to-probability-vol-2-2e-v-2-wiley-series-in-probability-and-statistics"

Wahrscheinlichkeitstheorie

Wahrscheinlichkeitstheorie

  • Author: Achim Klenke
  • Publisher: Springer-Verlag
  • ISBN: 3642360181
  • Category: Mathematics
  • Page: 650
  • View: 928
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Seit seinem Erscheinen hat sich das Buch umgehend als Standardwerk für eine umfassende und moderne Einführung in die Wahrscheinlichkeitstheorie und ihre maßtheoretischen Grundlagen etabliert. Themenschwerpunkte sind: Maß- und Integrationstheorie, Grenzwertsätze für Summen von Zufallsvariablen (Gesetze der Großen Zahl, Zentraler Grenzwertsatz, Ergodensätze, Gesetz vom iterierten Logarithmus, Invarianzprinzipien, unbegrenzt teilbare Verteilungen), Martingale, Perkolation, Markovketten und elektrische Netzwerke, Konstruktion stochastischer Prozesse, Poisson'scher Punktprozess, Brown'sche Bewegung, stochastisches Integral und stochastische Differentialgleichungen. Bei der Bearbeitung der Neuauflage wurde viel Wert auf eine noch zugänglichere didaktische Aufbereitung des Textes gelegt, und es wurden viele neue Abbildungen sowie Textergänzungen hinzugefügt.

Causal Inference for Statistics, Social, and Biomedical Sciences

Causal Inference for Statistics, Social, and Biomedical Sciences

An Introduction

  • Author: Guido W. Imbens,Donald B. Rubin
  • Publisher: Cambridge University Press
  • ISBN: 1316094391
  • Category: Mathematics
  • Page: N.A
  • View: 8865
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Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.

Philosophical Lectures on Probability

Philosophical Lectures on Probability

collected, edited, and annotated by Alberto Mura

  • Author: Bruno de Finetti
  • Publisher: Springer Science & Business Media
  • ISBN: 1402082029
  • Category: Science
  • Page: 216
  • View: 1063
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Bruno de Finetti (1906–1985) is the founder of the subjective interpretation of probability, together with the British philosopher Frank Plumpton Ramsey. His related notion of “exchangeability” revolutionized the statistical methodology. This book (based on a course held in 1979) explains in a language accessible also to non-mathematicians the fundamental tenets and implications of subjectivism, according to which the probability of any well specified fact F refers to the degree of belief actually held by someone, on the ground of her whole knowledge, on the truth of the assertion that F obtains.

Lectures in Mathematical Statistics

Lectures in Mathematical Statistics

Parts 1 and 2

  • Author: I͡U. N. Linʹkov
  • Publisher: American Mathematical Soc.
  • ISBN: 9780821889688
  • Category: Mathematics
  • Page: 321
  • View: 9771
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This volume is intended for the advanced study of several topics in mathematical statistics. The first part of the book is devoted to sampling theory (from one-dimensional and multidimensional distributions), asymptotic properties of sampling, parameter estimation, sufficient statistics, and statistical estimates. The second part is devoted to hypothesis testing and includes the discussion of families of statistical hypotheses that can be asymptotically distinguished. In particular,the author describes goodness-of-fit and sequential statistical criteria (Kolmogorov, Pearson, Smirnov, and Wald) and studies their main properties. The book is suitable for graduate students and researchers interested in mathematical statistics. It is useful for independent study or supplementaryreading.

Probability Theory

Probability Theory

  • Author: Alexandr A. Borovkov
  • Publisher: Springer Science & Business Media
  • ISBN: 1447152018
  • Category: Mathematics
  • Page: 733
  • View: 1791
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This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22 chapters, presented in a logical order but also suitable for dipping into. They include both classical and more recent results, such as large deviations theory, factorization identities, information theory, stochastic recursive sequences. The book is further distinguished by the inclusion of clear and illustrative proofs of the fundamental results that comprise many methodological improvements aimed at simplifying the arguments and making them more transparent. The importance of the Russian school in the development of probability theory has long been recognized. This book is the translation of the fifth edition of the highly successful Russian textbook. This edition includes a number of new sections, such as a new chapter on large deviation theory for random walks, which are of both theoretical and applied interest. The frequent references to Russian literature throughout this work lend a fresh dimension and make it an invaluable source of reference for Western researchers and advanced students in probability related subjects. Probability Theory will be of interest to both advanced undergraduate and graduate students studying probability theory and its applications. It can serve as a basis for several one-semester courses on probability theory and random processes as well as self-study.

Portfolio Selection

Portfolio Selection

Effiziente Diversifikation von Anlagen

  • Author: Harry M. Markowitz
  • Publisher: FinanzBuch Verlag
  • ISBN: 3862485781
  • Category: Business & Economics
  • Page: 466
  • View: 7304
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Harry Markowitz, 1990 für sein Lebenswerk mit dem Nobelpreis ausgezeichnet, hat mit diesem Buch Standards im modernen Wissenschaftsbetrieb gesetzt. Als "Portfolio Selection" 1959 erstmals in Buchform erschien, revolutionierten diese Ansichten das theoretische und praktische Vorgehen im Finanzbereich. Wissenschaftler, Banker und Privatleute mussten radikal umdenken. Markowitz hatte ein Modell entwickelt, das eine völlig neue Strategie bei der Asset Allocation forderte. Basis seiner Theorie, die bis heute Gültigkeit besitzt, ist das Abwägen zwischen Risiko und Ertrag auf mathematischer Basis. Markowitz bewies, dass ein optimales Portfolio dann zustande kommt, wenn der Investor verschiedene Wertpapiere unterschiedlicher Unternehmen und Staaten in sein Depot legt, anstatt auf einzelne Aktien oder Anleihen zu setzen. Diese Mischung reduziert zwar kurzfristig den Ertrag, langfristig jedoch aucvh das Risiko. Als bedeutende Vertreter der Portfolio-Diversifizierung gelten z.B. Warren Buffett und Peter Lynch.

Rough Set Theory and Granular Computing

Rough Set Theory and Granular Computing

  • Author: Masahiro Inuiguchi,Shoji Hirano
  • Publisher: Springer Science & Business Media
  • ISBN: 9783540005742
  • Category: Computers
  • Page: 300
  • View: 1309
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This monograph presents novel approaches and new results in fundamentals and applications related to rough sets and granular computing. It includes the application of rough sets to real world problems, such as data mining, decision support and sensor fusion. The relationship of rough sets to other important methods of data analysis – Bayes theorem, neurocomputing and pattern recognition is thoroughly examined. Another issue is the rough set based data analysis, including the study of decision making in conflict situations. Recent engineering applications of rough set theory are given, including a processor architecture organization for fast implementation of basic rough set operations and results concerning advanced image processing for unmanned aerial vehicles. New emerging areas of study and applications are presented as well as a wide spectrum of on-going research, which makes the book valuable to all interested in the field of rough set theory and granular computing.

Bōei Daigakkō Toshokan mokuroku

Bōei Daigakkō Toshokan mokuroku

Catalogue of books in the Defence Academy, 1956-

  • Author: Bōei Daigakkō (Japan) Toshokan
  • Publisher: N.A
  • ISBN: N.A
  • Category: Library catalogs
  • Page: N.A
  • View: 7678
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Books in Series

Books in Series

  • Author: N.A
  • Publisher: N.A
  • ISBN: 9780835221092
  • Category: Monographic series
  • Page: 1756
  • View: 1639
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Design and Analysis of Experiments, Introduction to Experimental Design

Design and Analysis of Experiments, Introduction to Experimental Design

  • Author: Klaus Hinkelmann,Oscar Kempthorne
  • Publisher: John Wiley & Sons
  • ISBN: 9780471551782
  • Category: Mathematics
  • Page: 495
  • View: 622
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Mathematical Tools for Physicists

Mathematical Tools for Physicists

  • Author: Michael Grinfeld
  • Publisher: John Wiley & Sons
  • ISBN: 3527684271
  • Category: Science
  • Page: 632
  • View: 2738
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The new edition is significantly updated and expanded. This unique collection of review articles, ranging from fundamental concepts up to latest applications, contains individual contributions written by renowned experts in the relevant fields. Much attention is paid to ensuring fast access to the information, with each carefully reviewed article featuring cross-referencing, references to the most relevant publications in the field, and suggestions for further reading, both introductory as well as more specialized. While the chapters on group theory, integral transforms, Monte Carlo methods, numerical analysis, perturbation theory, and special functions are thoroughly rewritten, completely new content includes sections on commutative algebra, computational algebraic topology, differential geometry, dynamical systems, functional analysis, graph and network theory, PDEs of mathematical physics, probability theory, stochastic differential equations, and variational methods.

American Book Publishing Record

American Book Publishing Record

BPR annual cumulative

  • Author: Bowker Staff
  • Publisher: R. R. Bowker
  • ISBN: N.A
  • Category: United States
  • Page: N.A
  • View: 8185
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Books in Series in the United States

Books in Series in the United States

  • Author: N.A
  • Publisher: N.A
  • ISBN: N.A
  • Category: Children's literature in series
  • Page: N.A
  • View: 5315
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Library Journal

Library Journal

  • Author: N.A
  • Publisher: N.A
  • ISBN: N.A
  • Category: Libraries
  • Page: N.A
  • View: 1771
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Includes, beginning Sept. 15, 1954 (and on the 15th of each month, Sept.-May) a special section: School library journal, ISSN 0000-0035, (called Junior libraries, 1954-May 1961). Also issued separately.

Introduction to Nonparametric Regression

Introduction to Nonparametric Regression

  • Author: K. Takezawa
  • Publisher: John Wiley & Sons
  • ISBN: 0471771449
  • Category: Mathematics
  • Page: 640
  • View: 8674
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An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features: * Thorough explanations of various techniques, which avoid complex mathematics and excessive abstract theory to help readers intuitively grasp the value of nonparametric regression methods * Statistical techniques accompanied by clear numerical examples that further assist readers in developing and implementing their own solutions * Mathematical equations that are accompanied by a clear explanation of how the equation was derived The first chapter leads with a compelling argument for studying nonparametric regression and sets the stage for more advanced discussions. In addition to covering standard topics, such as kernel and spline methods, the book provides in-depth coverage of the smoothing of histograms, a topic generally not covered in comparable texts. With a learning-by-doing approach, each topical chapter includes thorough S-Plus? examples that allow readers to duplicate the same results described in the chapter. A separate appendix is devoted to the conversion of S-Plus objects to R objects. In addition, each chapter ends with a set of problems that test readers' grasp of key concepts and techniques and also prepares them for more advanced topics. This book is recommended as a textbook for undergraduate and graduate courses in nonparametric regression. Only a basic knowledge of linear algebra and statistics is required. In addition, this is an excellent resource for researchers and engineers in such fields as pattern recognition, speech understanding, and data mining. Practitioners who rely on nonparametric regression for analyzing data in the physical, biological, and social sciences, as well as in finance and economics, will find this an unparalleled resource.

BPR

BPR

  • Author: N.A
  • Publisher: N.A
  • ISBN: N.A
  • Category: American literature
  • Page: N.A
  • View: 8576
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Order Statistics

Order Statistics

  • Author: Herbert A. David,H. N. Nagaraja
  • Publisher: John Wiley & Sons
  • ISBN: 0471654019
  • Category: Mathematics
  • Page: 458
  • View: 4377
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A completely revised and expanded edition of a classic resource In the over twenty years since the publication of the Second Edition of Order Statistics, the theories and applications of this dynamic field have changed markedly. Meeting the challenges and demands of today’s students and research community, authors H. A. David and H. N. Nagaraja return with a completely revised and updated Order Statistics, Third Edition. Chapters two through nine of this comprehensive volume deal with finite-sample theory, with individual topics grouped under distribution theory (chapters two through six) and statistical inference (chapters seven through nine). Chapters ten and eleven cover asymptotic theory for central, intermediate, and extreme order statistics, representing twice the coverage of this subject than the previous edition. New sections include: Stochastic orderings Characterizations Distribution-free prediction intervals Bootstrap estimations Moving order statistics Studentized range Ranked-set sampling Estimators of tail index The authors further explain application procedures for many data-analysis techniques and quality control. An appendix provides a guide to related tables and computer algorithms. Extensive exercise sets have been updated since the last edition. In spite of many eliminations, the total number of references has increased from 1,000 to 1,500. Expanded coverage of shortcut methods, robust estimation, life testing, reliability, L-statistics, and extreme-value theory complete this one-of-a-kind resource. Students and researchers of order statistics will appreciate this updated and thorough edition.

Subject Catalog

Subject Catalog

  • Author: Library of Congress
  • Publisher: N.A
  • ISBN: N.A
  • Category:
  • Page: N.A
  • View: 9927
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Subject Guide to Books in Print

Subject Guide to Books in Print

An Index to the Publishers' Trade List Annual

  • Author: N.A
  • Publisher: N.A
  • ISBN: N.A
  • Category: American literature
  • Page: N.A
  • View: 8222
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