Genre : Mathematics
Editor : Nelson Education
Release : 2011
ISBN-13 : 9781133169345
Hardcover : 768 Pages


Available: macOS, Windows, Android, Tablet

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES evidences Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Aided by his lively and realistic examples, students go beyond simply learning about statistics--they also learn how to put statistical methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Genre : Mathematics
Editor : Cengage Learning
Release : 2011-01-01
ISBN-13 : 9780538733526
Hardcover : 768 Pages


Available: macOS, Windows, Android, Tablet

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES evidences Jay Devore's reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Aided by his lively and realistic examples, students go beyond simply learning about statistics--they also learn how to put statistical methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Genre : Mathematical statistics
Editor : Duxbury Resource Center
Release : 1995
ISBN-13 : UOM:39076001950752
Hardcover : 743 Pages


Available: macOS, Windows, Android, Tablet

This text emphasizes models, methodology, and applications rather than rigorous mathematical development and theory. It uses real data in both exercise sets and examples.

Genre : Mathematics
Editor : Academic Press
Release : 2014-08-14
ISBN-13 : 9780123948427
Hardcover : 686 Pages


Available: macOS, Windows, Android, Tablet

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.

Genre : Computers
Editor : John Wiley & Sons
Release : 2017-03-03
ISBN-13 : 9781119337096
Hardcover : 456 Pages


Available: macOS, Windows, Android, Tablet

Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data—the fast and easy way!

Genre : Mathematics
Editor :
Release : 1998
ISBN-13 : STANFORD:36105020184193
Hardcover : 739 Pages


Available: macOS, Windows, Android, Tablet

This classic, market leading text provides a rigorous introduction to basic probability theory and statistical inference for students with a background in calculus. The new edition features many new exercises and applications based on real data.

Genre :
Editor : Cognella Academic Publishing
Release : 2018-07-23
ISBN-13 : 1516546180
Hardcover : Pages


Available: macOS, Windows, Android, Tablet

Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. The first chapter introduces methods for describing statistics. Over the course of the subsequent eight chapters students will learn about probability, discrete and continuous distributions, multiple random variables, point estimation and testing, and inferences based on one and two samples. The book features a comprehensive table for each type of test to help students choose appropriate statistical tests and confidence intervals. Based on years of classroom experience and extensively class-tested, Probability and Statistics for Science and Engineering with Examples in R is designed for one-semester courses in probability and statistics, and specifically for students in the natural sciences or engineering. The material is also suitable for business and economics students who have studied calculus.

Genre : Mathematical statistics
Editor : Wadsworth Publishing Company
Release : 1995
ISBN-13 : 0534242650
Hardcover : 183 Pages


Available: macOS, Windows, Android, Tablet

This text emphasizes models, methodology, and applications rather than rigorous mathematical development and theory. It uses real data in both exercise sets and examples.

Genre :
Editor : Pearson Education India
Release : 2007-09
ISBN-13 : 8131715523
Hardcover : 840 Pages


Available: macOS, Windows, Android, Tablet

Genre : Mathematics
Editor : John Wiley & Sons Incorporated
Release : 1987
ISBN-13 : UOM:39015013026342
Hardcover : 492 Pages


Available: macOS, Windows, Android, Tablet

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.