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Author : Robert Valentino Edwards
Publisher :
ISBN 13 : 9789812773388
Total Pages : 154 pages
Book Rating : 4.7/5 (733 download)
Download or read book Processing Random Data written by Robert Valentino Edwards and published by . This book was released on 2006 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert V Edwards
Publisher : World Scientific Publishing Company
ISBN 13 : 9813106727
Total Pages : 152 pages
Book Rating : 4.8/5 (131 download)
Download or read book Processing Random Data: Statistics For Engineers And Scientists written by Robert V Edwards and published by World Scientific Publishing Company. This book was released on 2006-07-03 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two features of Processing Random Data differentiate it from other similar books: the focus on computing the reproducibility error for statistical measurements, and its comprehensive coverage of Maximum Likelihood parameter estimation techniques. The book is useful for dealing with situations where there is a model relating to the input and output of a process, but with a random component, which could be noise in the system or the process itself could be random, like turbulence. Parameter estimation techniques are shown for many different types of statistical models, including joint Gaussian. The Cramer-Rao bounds are described as useful estimates of reproducibility errors.Finally, using an example with a random sampling of turbulent flows that can occur when using laser anemometry the book also explains the use of conditional probabilities.
Author : Robert V. Edwards
Publisher : World Scientific
ISBN 13 : 9812568344
Total Pages : 156 pages
Book Rating : 4.8/5 (125 download)
Download or read book Processing Random Data written by Robert V. Edwards and published by World Scientific. This book was released on 2006 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two features of Processing Random Data differentiate it from other similar books: the focus on computing the reproducibility error for statistical measurements, and its comprehensive coverage of Maximum Likelihood parameter estimation techniques. The book is useful for dealing with situations where there is a model relating to the input and output of a process, but with a random component, which could be noise in the system or the process itself could be random, like turbulence. Parameter estimation techniques are shown for many different types of statistical models, including joint Gaussian. The Cramer-Rao bounds are described as useful estimates of reproducibility errors.Finally, using an example with a random sampling of turbulent flows that can occur when using laser anemometry the book also explains the use of conditional probabilities.
Author : Julius S. Bendat
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 600 pages
Book Rating : 4.:/5 (319 download)
Download or read book Random Data written by Julius S. Bendat and published by Wiley-Interscience. This book was released on 1986-04-17 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: New York : John Wiley and Sons, [1986].
Author : Bhisham C Gupta
Publisher : John Wiley & Sons
ISBN 13 : 1118522206
Total Pages : 898 pages
Book Rating : 4.1/5 (185 download)
Download or read book Statistics and Probability with Applications for Engineers and Scientists written by Bhisham C Gupta and published by John Wiley & Sons. This book was released on 2014-03-06 with total page 898 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
Author : Bruce Hajek
Publisher : Cambridge University Press
ISBN 13 : 1316241246
Total Pages : 429 pages
Book Rating : 4.3/5 (162 download)
Download or read book Random Processes for Engineers written by Bruce Hajek and published by Cambridge University Press. This book was released on 2015-03-12 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: • Calculus of random processes in linear systems • Kalman and Wiener filtering • Hidden Markov models for statistical inference • The estimation maximization (EM) algorithm • An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book).
Author :
Publisher :
ISBN 13 :
Total Pages : 1164 pages
Book Rating : 4.3/5 (91 download)
Download or read book Mathematical Reviews written by and published by . This book was released on 2007 with total page 1164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sheldon M. Ross
Publisher :
ISBN 13 :
Total Pages : 532 pages
Book Rating : 4.3/5 (91 download)
Download or read book Introduction to Probability and Statistics for Engineers and Scientists written by Sheldon M. Ross and published by . This book was released on 1987 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.
Author : Bilal M. Ayyub
Publisher : CRC Press
ISBN 13 : 1439895333
Total Pages : 657 pages
Book Rating : 4.4/5 (398 download)
Download or read book Probability, Statistics, and Reliability for Engineers and Scientists written by Bilal M. Ayyub and published by CRC Press. This book was released on 2016-04-19 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world p
Author : Wilbur B. Davenport
Publisher :
ISBN 13 :
Total Pages : 586 pages
Book Rating : 4.3/5 (91 download)
Download or read book Probability and Random Processes written by Wilbur B. Davenport and published by . This book was released on 1970 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter Bruce
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491952911
Total Pages : 395 pages
Book Rating : 4.4/5 (919 download)
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Author : Babatunde A. Ogunnaike
Publisher : CRC Press
ISBN 13 : 1420044982
Total Pages : 1061 pages
Book Rating : 4.4/5 (2 download)
Download or read book Random Phenomena written by Babatunde A. Ogunnaike and published by CRC Press. This book was released on 2011-05-20 with total page 1061 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena: Fundamentals of Probability and Statistics for Engineers provides students with a working knowledge of how to solve engineering problems that involve randomly varying phenomena. Basing his approach on the principle of theoretical foundations before application, Dr. Ogunnaike presents a classroom-tested course of study that explains how to master and use probability and statistics appropriately to deal with uncertainty in standard problems and those that are new and unfamiliar. Giving students the tools and confidence to formulate practical solutions to problems, this book offers many useful features, including: Unique case studies to illustrate the fundamentals and applications of probability and foster understanding of the random variable and its distribution Examples of development, selection, and analysis of probability models for specific random variables Presentation of core concepts and ideas behind statistics and design of experiments Selected "special topics," including reliability and life testing, quality assurance and control, and multivariate analysis As classic scientific boundaries continue to be restructured, the use of engineering is spilling over into more non-traditional areas, ranging from molecular biology to finance. This book emphasizes fundamentals and a "first principles" approach to deal with this evolution. It illustrates theory with practical examples and case studies, equipping readers to deal with a wide range of problems beyond those in the book. About the Author: Professor Ogunnaike is Interim Dean of Engineering at the University of Delaware. He is the recipient of the 2008 American Automatic Control Council's Control Engineering Practice Award, the ISA's Donald P. Eckman Education Award, the Slocomb Excellence in Teaching Award, and was elected into the US National Academy of Engineering in 2012.
Author : Manfred Denker
Publisher : Birkhäuser
ISBN 13 : 3319661523
Total Pages : 509 pages
Book Rating : 4.3/5 (196 download)
Download or read book Introductory Statistics and Random Phenomena written by Manfred Denker and published by Birkhäuser. This book was released on 2017-09-16 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook integrates traditional statistical data analysis with new computational experimentation capabilities and concepts of algorithmic complexity and chaotic behavior in nonlinear dynamic systems. This was the first advanced text/reference to bring together such a comprehensive variety of tools for the study of random phenomena occurring in engineering and the natural, life, and social sciences. The crucial computer experiments are conducted using the readily available computer program Mathematica® Uncertain Virtual WorldsTM software packages which optimize and facilitate the simulation environment. Brief tutorials are included that explain how to use the Mathematica® programs for effective simulation and computer experiments. Large and original real-life data sets are introduced and analyzed as a model for independent study. This is an excellent classroom tool and self-study guide. The material is presented in a clear and accessible style providing numerous exercises and bibliographical notes suggesting further reading. Topics and Features Comprehensive and integrated treatment of uncertainty arising in engineering and scientific phenomena – algorithmic complexity, statistical independence, and nonlinear chaotic behavior Extensive exercise sets, examples, and Mathematica® computer experiments that reinforce concepts and algorithmic methods Thorough presentation of methods of data compression and representation Algorithmic approach to model selection and design of experiments Large data sets and 13 Mathematica®-based Uncertain Virtual WorldsTM programs and code This text is an excellent resource for all applied statisticians, engineers, and scientists who need to use modern statistical analysis methods to investigate and model their data. The present, softcover reprint is designed to make this classic textbook available to a wider audience.
Author : Engineers Joint Council
Publisher :
ISBN 13 :
Total Pages : 708 pages
Book Rating : 4.3/5 (91 download)
Download or read book Thesaurus of Engineering and Scientific Terms written by Engineers Joint Council and published by . This book was released on 1967 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Apte
Publisher : Excel Books India
ISBN 13 : 9788174466976
Total Pages : 706 pages
Book Rating : 4.4/5 (669 download)
Download or read book Statistical Tools For Managers (using Ms Excel) written by Apte and published by Excel Books India. This book was released on 2009 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Julius S. Bendat
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 634 pages
Book Rating : 4.:/5 (318 download)
Download or read book Random Data written by Julius S. Bendat and published by Wiley-Interscience. This book was released on 2000-02-14 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: The classic reference on the theory and application of random data analysis-now expanded and revised. This eagerly awaited new edition of the bestselling random data analysis book continues to provide first-rate, practical tools for scientists and engineers who investigate dynamic data as well as those who use statistical methods to solve engineering problems. It is fully updated, covering new procedures developed since 1986 and extending the discussion to a remarkably broad range of applied fields, from aerospace and automotive industries to biomedical research. Comprehensive and self-contained, this new edition also greatly expands coverage of the theory, including derivations of key relationships in probability and random process theory not usually found in books of this kind. Special features of Random Data: Analysis and Measurement Procedures, Third Edition include: * Basic probability functions for level crossings and peak values of random data * Complete derivations of both old and new practical formulas for statistical error analysis of computed estimates * The latest methods for data acquisition and processing as well as nonstationary data analysis * Additional techniques on digital data analysis procedures * New material on the analysis of multiple-input/multiple-output linear systems * Numerous new examples and problem sets * Hundreds of updated illustrations and references *An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Author : Semyon G. Rabinovich
Publisher : Springer Science & Business Media
ISBN 13 : 1441914560
Total Pages : 278 pages
Book Rating : 4.4/5 (419 download)
Download or read book Evaluating Measurement Accuracy written by Semyon G. Rabinovich and published by Springer Science & Business Media. This book was released on 2009-12-11 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Evaluating Measurement Accuracy" is intended for anyone who is concerned with measurements in any field of science or technology. It reflects the latest developments in metrology and offers new results, but is designed to be accessible to readers at different levels: meteorologists, engineers and experimental scientists who use measurements as tools in their professions, graduate and undergraduate students in the natural sciences and engineering, and technicians performing complex measurements in industry, quality control, and trade. The material of the book is presented from the practical perspective and offers solutions and recommendations for problems that arise in conducting real-life measurements. This inclusion is a notable and unique aspect of this title as complex measurements done in industry and trade are often neglected in metrological literature, leaving the practitioners of these measurements to devise their own ad-hoc techniques.
