A First Course in Probability

Author: Sheldon M. Ross

Publisher: Prentice Hall

ISBN: 9780136033134

Category: Mathematics

Page: 530

View: 5928

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This title features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications.

First Course in Probability, A: Pearson New International Edition

Author: Sheldon Ross

Publisher: Pearson Higher Ed

ISBN: 1292037563

Category: Mathematics

Page: 464

View: 8095

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A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

A First Course in Probability

Author: Sheldon Ross

Publisher: Pearson

ISBN: 0321926676

Category: Mathematics

Page: N.A

View: 9213

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

A First Course in Stochastic Processes

Author: Samuel Karlin,Howard E. Taylor

Publisher: Academic Press

ISBN: 0080570410

Category: Mathematics

Page: 557

View: 4169

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The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing simultaneously theory and applications, intertwined so that they refurbish and elucidate each other. The authors have made three main kinds of changes. First, they have enlarged on the topics treated in the first edition. Second, they have added many exercises and problems at the end of each chapter. Third, and most important, they have supplied, in new chapters, broad introductory discussions of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated with random sums, stationary stochastic processes, and diffusion theory.

A First Course in Probability

Author: Tapas K. Chandra,Dipak Chatterjee

Publisher: Alpha Science Int'l Ltd.

ISBN: 9781842652084

Category: Business & Economics

Page: 494

View: 7027

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Covers topics such as transformation, convergence and multivariate analysis. This book offers a feature that resolve many confusions of probability and statistics.

A First Course in Quality Engineering

Integrating Statistical and Management Methods of Quality, Third Edition

Author: K. S. Krishnamoorthi,V. Ram Krishnamoorthi,Arunkumar Pennathur

Publisher: CRC Press

ISBN: 1498764231

Category: Technology & Engineering

Page: 600

View: 1042

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The third edition of this textbook improves on the strengths of the earlier editions both in content and presentation. Of the important features of the textbook is the inclusion of examples from real-world to illustrate use of quality methods in problem solving. A thorough revision is made of the text to make all chapters suitable for self-study as well.

A First Course in Fuzzy Logic, Third Edition

Author: Hung T. Nguyen,Elbert A. Walker

Publisher: CRC Press

ISBN: 1584885262

Category: Mathematics

Page: 440

View: 6257

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A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic. This best-selling text provides a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications. New in the Third Edition: A section on type-2 fuzzy sets - a topic that has received much attention in the past few years Additional material on copulas and t-norms More discussions on generalized modus ponens and the compositional rule of inference Complete revision to the chapter on possibility theory Significant expansion of the chapter on fuzzy integrals Many new exercises With its comprehensive updates, this new edition presents all the background necessary for students and professionals to begin using fuzzy logic in its many-and rapidly growing- applications in computer science, mathematics, statistics, and engineering.

A First Course in Statistics for Signal Analysis

Author: Wojbor A. Woyczynski

Publisher: Springer Science & Business Media

ISBN: 9780817681012

Category: Mathematics

Page: 261

View: 3091

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This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.

Algorithmen - Eine Einführung

Author: Thomas H. Cormen,Charles E. Leiserson,Ronald Rivest,Clifford Stein

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3110522012

Category: Computers

Page: 1339

View: 491

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Der "Cormen" bietet eine umfassende und vielseitige Einführung in das moderne Studium von Algorithmen. Es stellt viele Algorithmen Schritt für Schritt vor, behandelt sie detailliert und macht deren Entwurf und deren Analyse allen Leserschichten zugänglich. Sorgfältige Erklärungen zur notwendigen Mathematik helfen, die Analyse der Algorithmen zu verstehen. Den Autoren ist es dabei geglückt, Erklärungen elementar zu halten, ohne auf Tiefe oder mathematische Exaktheit zu verzichten. Jedes der weitgehend eigenständig gestalteten Kapitel stellt einen Algorithmus, eine Entwurfstechnik, ein Anwendungsgebiet oder ein verwandtes Thema vor. Algorithmen werden beschrieben und in Pseudocode entworfen, der für jeden lesbar sein sollte, der schon selbst ein wenig programmiert hat. Zahlreiche Abbildungen verdeutlichen, wie die Algorithmen arbeiten. Ebenfalls angesprochen werden Belange der Implementierung und andere technische Fragen, wobei, da Effizienz als Entwurfskriterium betont wird, die Ausführungen eine sorgfältige Analyse der Laufzeiten der Programme mit ein schließen. Über 1000 Übungen und Problemstellungen und ein umfangreiches Quellen- und Literaturverzeichnis komplettieren das Lehrbuch, dass durch das ganze Studium, aber auch noch danach als mathematisches Nachschlagewerk oder als technisches Handbuch nützlich ist. Für die dritte Auflage wurde das gesamte Buch aktualisiert. Die Änderungen sind vielfältig und umfassen insbesondere neue Kapitel, überarbeiteten Pseudocode, didaktische Verbesserungen und einen lebhafteren Schreibstil. So wurden etwa - neue Kapitel zu van-Emde-Boas-Bäume und mehrfädigen (engl.: multithreaded) Algorithmen aufgenommen, - das Kapitel zu Rekursionsgleichungen überarbeitet, sodass es nunmehr die Teile-und-Beherrsche-Methode besser abdeckt, - die Betrachtungen zu dynamischer Programmierung und Greedy-Algorithmen überarbeitet; Memoisation und der Begriff des Teilproblem-Graphen als eine Möglichkeit, die Laufzeit eines auf dynamischer Programmierung beruhender Algorithmus zu verstehen, werden eingeführt. - 100 neue Übungsaufgaben und 28 neue Problemstellungen ergänzt. Umfangreiches Dozentenmaterial (auf englisch) ist über die Website des US-Verlags verfügbar.

A First Course in Optimization Theory

Author: Rangarajan K. Sundaram

Publisher: Eric Treuille

ISBN: 0521497191

Category: Business & Economics

Page: 357

View: 1429

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Divided into three separate parts, this book introduces students to optimization theory and its use in economics and allied disciplines. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.

Wahrscheinlichkeitstheorie und Stochastische Prozesse

Author: Michael Mürmann

Publisher: Springer-Verlag

ISBN: 364238160X

Category: Mathematics

Page: 428

View: 639

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Dieses Lehrbuch beschäftigt sich mit den zentralen Gebieten einer maßtheoretisch orientierten Wahrscheinlichkeitstheorie im Umfang einer zweisemestrigen Vorlesung. Nach den Grundlagen werden Grenzwertsätze und schwache Konvergenz behandelt. Es folgt die Darstellung und Betrachtung der stochastischen Abhängigkeit durch die bedingte Erwartung, die mit der Radon-Nikodym-Ableitung realisiert wird. Sie wird angewandt auf die Theorie der stochastischen Prozesse, die nach der allgemeinen Konstruktion aus der Untersuchung von Martingalen und Markov-Prozessen besteht. Neu in einem Lehrbuch über allgemeine Wahrscheinlichkeitstheorie ist eine Einführung in die stochastische Analysis von Semimartingalen auf der Grundlage einer geeigneten Stetigkeitsbedingung mit Anwendungen auf die Theorie der Finanzmärkte. Das Buch enthält zahlreiche Übungen, teilweise mit Lösungen. Neben der Theorie vertiefen Anmerkungen, besonders zu mathematischen Modellen für Phänomene der Realität, das Verständnis.​

Understanding Probability

Chance Rules in Everyday Life

Author: Henk Tijms

Publisher: Cambridge University Press

ISBN: 9780521540360

Category: Mathematics

Page: 380

View: 2978

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Written with wit and clarity, this book introduces the world of probability in an informal way.

A First Course in Artificial Intelligence, 1e

Author: Deepak Khemani

Publisher: McGraw-Hill Education

ISBN: 9383286784

Category:

Page: N.A

View: 4569

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As the title says, A First Course in Artificial Intelligence is aptly suited for both undergraduate and postgraduate courses involving Artificial Intelligence. The book explores from scratch the algorithms and representations needed for building intelligent systems. The textbook follows a bottom-up approach exploring the basic strategies - starting with search based methods & then moving on to knowledge based methods - needed for problem solving and focuses primarily on the intelligence part. The only background required to comprehend the book is familiarity with programming. Easy explanations for the concepts bolstered with illuminative illustrations make the book an essential reading for the budding artificial intelligence students, seasoned practitioners and researchers; all alike.

Elementare Wahrscheinlichkeitstheorie und stochastische Prozesse

Author: Kai L. Chung

Publisher: Springer-Verlag

ISBN: 3642670334

Category: Mathematics

Page: 346

View: 3528

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Aus den Besprechungen: "Unter den zahlreichen Einführungen in die Wahrscheinlichkeitsrechnung bildet dieses Buch eine erfreuliche Ausnahme. Der Stil einer lebendigen Vorlesung ist über Niederschrift und Übersetzung hinweg erhalten geblieben. In jedes Kapitel wird sehr anschaulich eingeführt. Sinn und Nützlichkeit der mathematischen Formulierungen werden den Lesern nahegebracht. Die wichtigsten Zusammenhänge sind als mathematische Sätze klar formuliert." #FREQUENZ#1

A First Course in Digital Communications

Author: Ha H. Nguyen,Ed Shwedyk

Publisher: Cambridge University Press

ISBN: 0521876133

Category: Computers

Page: 546

View: 1170

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A concise introduction to the core concepts in digital communication, providing clarity and depth through examples, problems and MATLAB exercises. Its simple structure maps a logical route to understand the most basic principles in digital communication, and also leads students through more in-depth treatment with examples and step-by step instructions.

Modern Data Analysis

A First Course in Applied Statistics

Author: Lawrence C. Hamilton

Publisher: Brooks/Cole

ISBN: N.A

Category: Mathematics

Page: 684

View: 4919

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First Course in Statistics, A: Pearson New International Edition

Author: James T McClave,Terry Sincich

Publisher: Pearson Higher Ed

ISBN: 1292036818

Category: Mathematics

Page: 600

View: 7562

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Classic, yet contemporary. Theoretical, yet applied. McClave & Sincich’s Statistics: A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. The Eleventh Edition infuses a new focus on ethics, which is critically important when working with statistical data. Chapter Summaries have a new, study-oriented design, helping students stay focused when preparing for exams. Data, exercises, technology support, and Statistics in Action cases are updated throughout the book. In addition, MyStatLab will have increased exercise coverage and two new banks of questions to draw from: Getting Ready for Stats and Conceptual Question Library. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.