Solutions Manual to Accompany Introduction to Probability and Statistics, 5th Ed
Title | Solutions Manual to Accompany Introduction to Probability and Statistics, 5th Ed PDF eBook |
Author | Barbara M. Beaver |
Publisher | |
Pages | 572 |
Release | 1978 |
Genre | Mathematical statistics |
ISBN |
Introductory Statistics
Title | Introductory Statistics PDF eBook |
Author | Neil A. Weiss |
Publisher | Pearson College Division |
Pages | 759 |
Release | 2012 |
Genre | Mathematics |
ISBN | 9780321691224 |
Weiss's Introductory Statistics, Ninth Edition is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. The text is suitable for a one- or two-semester course. Comprehensive in its coverage, Weiss's meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 2,600 exercises, most using real data, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical literacy. Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. This edition continues the book's tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and websites. Datasets and other resources (where applicable) for this book are available here.
Solutions Manual to accompany Introduction to Linear Regression Analysis
Title | Solutions Manual to accompany Introduction to Linear Regression Analysis PDF eBook |
Author | Douglas C. Montgomery |
Publisher | John Wiley & Sons |
Pages | 112 |
Release | 2013-04-23 |
Genre | Mathematics |
ISBN | 1118548507 |
As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.
Loss Models: From Data to Decisions, 5e Student Solutions Manual
Title | Loss Models: From Data to Decisions, 5e Student Solutions Manual PDF eBook |
Author | Stuart A. Klugman |
Publisher | John Wiley & Sons |
Pages | 218 |
Release | 2018-12-18 |
Genre | Business & Economics |
ISBN | 1119538033 |
Solutions manual to accompany a text with comprehensive coverage of actuarial modeling techniques The Student Solutions Manual to Accompany Loss Models: From Data to Decisions covers solutions related to the companion text. The manual and text are designed for use by actuaries and those studying for the profession. Readers can learn modeling techniques used across actuarial science. Knowledge of the techniques is also beneficial for those who use loss data to build models for risk assessment.
Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists
Title | Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists PDF eBook |
Author | Bhisham C. Gupta |
Publisher | John Wiley & Sons |
Pages | 449 |
Release | 2013-10-11 |
Genre | Mathematics |
ISBN | 1118789768 |
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.
Introduction to Probability and Statistics Using R
Title | Introduction to Probability and Statistics Using R PDF eBook |
Author | G. Jay Kerns |
Publisher | Lulu.com |
Pages | 388 |
Release | 2010-01-10 |
Genre | Education |
ISBN | 0557249791 |
This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.
Statistics and Probability with Applications for Engineers and Scientists
Title | Statistics and Probability with Applications for Engineers and Scientists PDF eBook |
Author | Bhisham C. Gupta |
Publisher | John Wiley & Sons |
Pages | 896 |
Release | 2013-04-29 |
Genre | Mathematics |
ISBN | 1118464044 |
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.