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A self-study guide for practicing engineers, scientists, and students, this book offers practical, worked-out examples on continuous and discrete probability for problem-solving courses. It is filled with handy diagrams, examples, and solutions that greatly aid in the comprehension of a variety of probability problems.
A self-study guide for practicing engineers, scientists, and students, this book offers practical, worked-out examples on continuous and discrete probability for problem-solving courses. It is filled with handy diagrams, examples, and solutions that greatly aid in the comprehension of a variety of probability problems.
Specifically designed to meet the needs of high school students, REA’s High School Probability Tutor presents hundreds of solved problems with step-by-step and detailed solutions. Almost any imaginable problem that might be assigned for homework or given on an exam is covered. Topics include the basic concepts of probability, counting, discrete distributions, binomial and multinomial distributions, continuous distributions, conditional probability, expectation, joint distributions, functions of random variables, and sampling theory. Fully indexed for locating specific problems rapidly.
Introduction to Probability by Charles Miller Grinstead,James Laurie Snell Pdf
This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject.
The High School Probability Tutor by M. Fogiel Pdf
Specifically designed to meet the needs of high school students, REA’s High School Probability Tutor presents hundreds of solved problems with step-by-step and detailed solutions. Almost any imaginable problem that might be assigned for homework or given on an exam is covered. Topics include the basic concepts of probability, counting, discrete distributions, binomial and multinomial distributions, continuous distributions, conditional probability, expectation, joint distributions, functions of random variables, and sampling theory. Fully indexed for locating specific problems rapidly.
Abstractions of Evidence in the Study of Manuscripts and Early Printed Books by Joseph A. Dane Pdf
In this book, Joseph Dane critiques the use of material evidence in studies of manuscript and printed books by delving into accepted notions about the study of print culture. He questions the institutional and ideological presuppositions that govern medieval studies, descriptive bibliography, and library science. Dane begins by asking what is the relation between material evidence and the abstract statements made about the evidence; ultimately he asks how evidence is to be defined. The goal of this book is to show that evidence from texts and written objects often becomes twisted to support pre-existing arguments; and that generations of bibliographers have created narratives of authorship, printing, reading, and editing that reflect romantic notions of identity, growth, and development. The first part of the book is dedicated to medieval texts and authorship: materials include Everyman, Chaucer's Legend of Good Women, the Anglo-Norman Le Seint Resurrection, and Adam de la Helle's Le Jeu de Robin et Marion. The second half of the book is concerned with abstract notions about books and scholarly definitions about what a book actually is: chapters include studies of basic bibliographical concepts ("Ideal Copy") and the application of such a notion in early editions of Chaucer, the combination of manuscript and printing in the books of Colard Mansion, and finally, examples of the organization of books by an early nineteenth-century book-collector Leander Van Ess. This study is an important contribution to debates about the nature of bibliography and the critical institutions that have shaped its current practice.
Fundamentals of Applied Probability and Random Processes by Oliver Ibe Pdf
The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8) Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).
Probability Models in Engineering and Science by Haym Benaroya,Seon Mi Han,Mark Nagurka Pdf
Certainty exists only in idealized models. Viewed as the quantification of uncertainties, probabilitry and random processes play a significant role in modern engineering, particularly in areas such as structural dynamics. Unlike this book, however, few texts develop applied probability in the practical manner appropriate for engineers. Probability Models in Engineering and Science provides a comprehensive, self-contained introduction to applied probabilistic modeling. The first four chapters present basic concepts in probability and random variables, and while doing so, develop methods for static problems. The remaining chapters address dynamic problems, where time is a critical parameter in the randomness. Highlights of the presentation include numerous examples and illustrations and an engaging, human connection to the subject, achieved through short biographies of some of the key people in the field. End-of-chapter problems help solidify understanding and footnotes to the literature expand the discussions and introduce relevant journals and texts. This book builds the background today's engineers need to deal explicitly with the scatter observed in experimental data and with intricate dynamic behavior. Designed for undergraduate and graduate coursework as well as self-study, the text's coverage of theory, approximation methods, and numerical methods make it equally valuable to practitioners.
The Probability Workbook by Mary McShane-Vaughn Pdf
The best way to master probability is to work problems-lots of them. Through repeated practice, formerly fuzzy concepts begin to make sense, and solution strategies become clear. The Probability Workbook is a companion to The Probability Handbook, which covers counting techniques, probability rules, discrete probability distributions, and continuous probability distributions. This workbook offers more than 400 problems covering a wide range of probability techniques and distributions. From poker problems, to famous problems by luminaries in the field such as Pascal, Fermat, Bertrand, Fisher, and Deming, this one-of-a-kind book gives detailed numerical solutions and explanations presented in a conversational way. There are general probability questions involving travel itineraries, baseball, and birth orders, as well as more real-world applications such as quality inspection, reliability, statistical process control, and simulation. Problems applicable to the manufacturing, healthcare, business, and hospitality and tourism industries are included. For easy reference, each numbered problem in the workbook is categorized by broad topic area, and then by a more detailed, descriptive title. In addition to the topic and title, the level of difficulty is displayed for each problem using a die icon. This workbook is an invaluable resource for the probability portions of ASQ's CQE, CSSGB, CSSBB, CSSMBB, and CRE exams.
The Probability Handbook by Mary McShane-Vaughn Pdf
Probability is tough even those fairly well versed in statistical analysis balk at the prospect of tackling it. Many probability concepts seem counterintuitive at first, and the successful student must in effect train him or herself to think in a totally new way. Mastery of probability takes a lot of time, and only comes from solving many, many problems. The aim of this text and its companion, The Probability Workbook (coming soon), is to present the subject of probability as a tutor would. Probability concepts are explained in everyday language and worked examples are presented in abundance. In addition to paper-and-pencil solutions, solution strategies using Microsoft Excel functions are given. All mathematical symbols are explained, and the mathematical rigor is kept on an algebra level; calculus is avoided. This book is written for quality practitioners who are currently performing statistical and probability analyses in their workplaces, and for those seeking to learn probability concepts for the American Society for Quality (ASQ) Certified Quality Engineer, Reliability Engineer, Six Sigma Green Belt, Black Belt, or Master Black Belt exams.
Probabilistic Models for Dynamical Systems by Haym Benaroya,Seon Mi Han,Mark Nagurka Pdf
Now in its second edition, Probabilistic Models for Dynamical Systems expands on the subject of probability theory. Written as an extension to its predecessor, this revised version introduces students to the randomness in variables and time dependent functions, and allows them to solve governing equations.Introduces probabilistic modeling and explo
Probability and Measure Theory by Robert B. Ash,Catherine A. Doleans-Dade Pdf
Probability and Measure Theory, Second Edition, is a text for a graduate-level course in probability that includes essential background topics in analysis. It provides extensive coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion. Clear, readable style Solutions to many problems presented in text Solutions manual for instructors Material new to the second edition on ergodic theory, Brownian motion, and convergence theorems used in statistics No knowledge of general topology required, just basic analysis and metric spaces Efficient organization
Introduction to Probability by Joseph K. Blitzstein,Jessica Hwang Pdf
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional
Mechanical Vibration by Haym Benaroya,Mark L. Nagurka Pdf
Mechanical Vibration: Analysis, Uncertainties, and Control simply and comprehensively addresses the fundamental principles of vibration theory, emphasizing its application in solving practical engineering problems. The authors focus on strengthening engineers’ command of mathematics as a cornerstone for understanding vibration, control, and the ways in which uncertainties affect analysis. It provides a detailed exploration and explanation of the essential equations involved in modeling vibrating systems and shows readers how to employ MATLAB® as an advanced tool for analyzing specific problems. Forgoing the extensive and in-depth analysis of randomness and control found in more specialized texts, this straightforward, easy-to-follow volume presents the format, content, and depth of description that the authors themselves would have found useful when they first learned the subject. The authors assume that the readers have a basic knowledge of dynamics, mechanics of materials, differential equations, and some knowledge of matrix algebra. Clarifying necessary mathematics, they present formulations and explanations to convey significant details. The material is organized to afford great flexibility regarding course level, content, and usefulness in self-study for practicing engineers or as a text for graduate engineering students. This work includes example problems and explanatory figures, biographies of renowned contributors, and access to a website providing supplementary resources. These include an online MATLAB primer featuring original programs that can be used to solve complex problems and test solutions.
Investigations in the Workplace by Eugene F. Ferraro,T.J. MacGinley,Ban Seng Choo Pdf
The process of investigation is dynamic and fluid. The approach must be reasonable and the investigator flexible. However, in order to be successful, every investigation must have a meaningful purpose and be executed ethically and lawfully.Inevitably, employers must invest time, money, and patience to ensure they obtain demonstrable and actionable