Introduction to Probability and Statistics for Engineers and Scientists

Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0123948428
Format: PDF
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Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations. Clear exposition by a renowned expert author Real data examples that use significant real data from actual studies across life science, engineering, computing and business End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science New additions to proofs in the estimation section New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

Introduction to Probability and Statistics for Engineers

Author: Milan Holický
Publisher: Springer Science & Business Media
ISBN: 3642383009
Format: PDF, ePub, Mobi
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The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.

Probability and Statistics for Engineers and Scientists

Author: Anthony J. Hayter
Publisher: Duxbury Press
ISBN:
Format: PDF, Mobi
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This introduction to probability and statistics for engineering and science students focuses on the fundamental concepts of statistical analysis, not on mathematical details or obscure techniques. The sequence of topics will fit almost all one-semester applied probability and statistics courses. The clear, thorough presentation of basic concepts is balanced by a wealth of applied examples and problems. Numerous in-text examples, problems, and real-life applications and illustrations demonstrate how a variety of computer-based statistical software packages (including Minitab) may be used in statistical analysis.

Probability and Statistics for Engineering and the Sciences

Author: Jay L. Devore
Publisher: Cengage Learning
ISBN: 1305465326
Format: PDF, ePub, Docs
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Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a favorite with statistics students, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals apply concepts, models, and methodologies in today's engineering and scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, emphasizes authentic problem scenarios in a multitude of examples and exercises, many of which involve real data, to show how statistics makes sense of the world. Mathematical development and derivations are kept to a minimum. The book also includes output, graphics, and screen shots from various statistical software packages to give you a solid perspective of statistics in action. A Student Solutions Manual, which includes worked-out solutions to almost all the odd-numbered exercises in the book, is available. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Statistik Workshop f r Programmierer

Author: Allen B. Downey
Publisher: O'Reilly Germany
ISBN: 3868993436
Format: PDF, Mobi
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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.

Genie und Vererbung Classic Reprint

Author: Francis Galton
Publisher:
ISBN: 9781332457298
Format: PDF, Mobi
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Excerpt from Genie und Vererbung Die Bucherei hat es sich zur Aufgabe gemacht, einerseits dem deutschen Publikum die Hauptwerke der auslandischen Philosophie und Soziologie in guten Ubersetzungen nahezubringen, andererseits auch wertvolle deutsche Originalarbeiten in ihren Rahmen aufzunehmen. Wie ihr Erscheinen von den Fachgenossen aufgenommen wurde, zeigt eine Zuschirift Rudolf Euckens der dem Verleger folgendermassen schreibt: "Ich wunsche von Herzen Gluck zu den bedeutenden wissenschaftlichen Unternehmungen, die sie beginnen. Ich glaube, dass hier in Wahrheit eine Lucke besteht, welche dringend der Ausfullung bedarf: wir Deutschen haben zu wenig Beziehung zu den inneren geistigen Bewegungen der anderen Kulturvolker, und wir konnten daraus doch manches gewinnen." Es sollen ausser deutschen Philosophen zunachst die bedeutendsten Vertreter der auslandischen Philosophie mit charakteristischen Werken zu Worte kommen, daneben wird Ruck sieht darauf genommen, dass nicht nur fur den Fachmann interessante Werke zur Verdeutschung kommen, sondern auch solche, die fur ein grosseres philosophisch und soziologisch interessiertes Publikum Wert haben. Die beste Auskunft uber Plan und Ab sichten des Unternehmens gibt ein Blick auf die Titel der schon erschienenen und vorbereiteten Bande. Ein ausfuhrlicher Spezialprospekt uber die Gebiete Philosophie-Soziologie steht jederzeit umsonst zu Diensten. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works."

Stochastik

Author: Hans-Otto Georgii
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110386860
Format: PDF, ePub, Docs
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Due to the extremely positive reception of this textbook, it is now being published in its 5th edition. The book provides an introduction to the key ideas and elements of probability theory and statistics. Stochastic concepts, models, and methods are highlighted through typical application examples, then analyzed theoretically and systematically explored.

Introduction to Probability and Statistics for Scientists and Engineers

Author: Walter A. Rosenkrantz
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN: 9780070539884
Format: PDF, Docs
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This modern text presents the fundamental ideas of probability theory and statistics with an abundance of applications relating to topics such as reliability, queuing theory, and computer performance analysis. Along with thorough coverage of the traditional topics of a first course in statistics, this new text emphasizes modeling, displaying, interpreting, and collecting data for a variety of scientific and engineering applications.