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Author : Sheldon M. Ross
Publisher : Unknown
Page : 62 pages
File Size : 53,8 Mb
Release : 2000
Category : Engineering mathematics
ISBN : 012598474X
Author : Sheldon M. Ross
Publisher : Unknown
Page : 532 pages
File Size : 49,5 Mb
Release : 1987
Category : Mathematics
ISBN : UOM:39015013026342
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 : Sharon L. Myers,Keying Ye
Publisher : Prentice Hall
Page : 129 pages
File Size : 44,6 Mb
Release : 2006-08
Category : Education
ISBN : 0131877135
Fully worked solutions to odd-numbered exercises
Author : Sheldon M. Ross
Publisher : Academic Press
Page : 30 pages
File Size : 47,6 Mb
Release : 2009-04-15
Category : Science
ISBN : 9780080919423
Introduction to Probability and Statistics for Engineers and Scientists, Student Solutions Manual
Author : Taylor & Francis Group
Publisher : Unknown
Page : 128 pages
File Size : 51,8 Mb
Release : 2011-04-18
Category : Electronic
ISBN : 1439876460
Author : Bhisham C. Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 449 pages
File Size : 43,8 Mb
Release : 2013-10-11
Category : Mathematics
ISBN : 9781118789766
A solutions manual to accompany Statistics and Probability with Applications for Engineers and Scientists 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 : Janet Susan Milton,Jesse C. Arnold
Publisher : McGraw-Hill Companies
Page : 824 pages
File Size : 54,7 Mb
Release : 2003
Category : Computers
ISBN : UCSC:32106016529130
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
Author : Bhisham C. Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 896 pages
File Size : 40,8 Mb
Release : 2013-04-29
Category : Mathematics
ISBN : 9781118464045
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 : Ronald Walpole,Raymond Myers,Sharon Myers,Keying Ye
Publisher : Pearson
Page : 0 pages
File Size : 50,8 Mb
Release : 2011-12-27
Category : Electronic
ISBN : 0321783999
Normal 0 false false false This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
Author : Sheldon M Ross
Publisher : Academic Press
Page : 170 pages
File Size : 45,9 Mb
Release : 2010-01-01
Category : Mathematics
ISBN : 0123814367
Introduction to Probability Models, Student Solutions Manual (e-only)
Author : Anthony J. Hayter
Publisher : Duxbury Press
Page : 200 pages
File Size : 51,8 Mb
Release : 2006-01
Category : Mathematics
ISBN : 0495107581
The Student Solutions Manual is intended to supplement the brief answers provided in the back of the book for selected exercises. It includes fully worked out solutions for those exercises, and also provides hints, tips, and additional interpretation for specific exercises.
Author : Bilal M. Ayyub,Richard H. McCuen
Publisher : Chapman & Hall/CRC
Page : 258 pages
File Size : 47,7 Mb
Release : 2002
Category : Electronic
ISBN : 158488343X
Author : Douglas C. Montgomery,George C. Runger
Publisher : John Wiley & Sons
Page : 393 pages
File Size : 55,5 Mb
Release : 2010-08-09
Category : Technology & Engineering
ISBN : 9780470888445
Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.
Author : T. T. Soong
Publisher : John Wiley and Sons
Page : 408 pages
File Size : 45,5 Mb
Release : 2004-03-26
Category : Mathematics
ISBN : 0470868139
This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. Key features: Presents the fundamentals in probability and statistics along with relevant applications. Explains the concept of probabilistic modelling and the process of model selection, verification and analysis. Definitions and theorems are carefully stated and topics rigorously treated. Includes a chapter on regression analysis. Covers design of experiments. Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields. Includes an accompanying online Solutions Manual for instructors containing complete step-by-step solutions to all problems.
Author : Bhisham C. Gupta,Irwin Guttman,Kalanka P. Jayalath
Publisher : John Wiley & Sons
Page : 1040 pages
File Size : 44,8 Mb
Release : 2020-02-05
Category : Mathematics
ISBN : 9781119516637
Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining—including big data, classification, machine learning, and visualization—is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering. The book also offers a chapter on Response Surfaces that previously appeared on the book’s companion website. Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition is broken into two parts. Part I covers topics such as: describing data graphically and numerically, elements of probability, discrete and continuous random variables and their probability distributions, distribution functions of random variables, sampling distributions, estimation of population parameters and hypothesis testing. Part II covers: elements of reliability theory, data mining, cluster analysis, analysis of categorical data, nonparametric tests, simple and multiple linear regression analysis, analysis of variance, factorial designs, response surfaces, and statistical quality control (SQC) including phase I and phase II control charts. The appendices contain statistical tables and charts and answers to selected problems. Features two new chapters—one on Data Mining and another on Cluster Analysis Now contains R exhibits including code, graphical display, and some results MINITAB and JMP have been updated to their latest versions Emphasizes the p-value approach and includes related practical interpretations Offers a more applied statistical focus, and features modified examples to better exhibit statistical concepts Supplemented with an Instructor's-only solutions manual on a book’s companion website Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction to applied statistics and probability for undergraduate students in engineering and the natural sciences.