Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics. <ul><li>provides early discussed fundamental concepts such as variability, graphical representation of data, and randomization and blocking in design of experiments. </li></ul>
<ul><li>provides a thorough introduction to descriptive statistics, including the importance of understanding variability, representation of data, exploratory data analysis, and time-sequence plots. </li></ul>
<ul><li>explores principles of probability, probability distributions, and sampling distribution theory. </li></ul>
<ul><li>discusses regression, design of experiments and their analysis, including factorial and fractional factorial designs. </li></ul>

Applied Statistics for Engineers and Physical Scientists

Science & Math

Hogg, Robert V.

Ledolter, Johannes

Mathematics

Pearson College Div

This hugely anticipated revision has held true to its core strengths, while bringing the book fully up to date with modern engineering statistics. Written by two leading statisticians, Statistics for Engineers and Physical Scientists, Third Edition, provides the necessary bridge between basic statistical theory and interesting applications. Students solve the same problems that engineers and scientists face, and have the opportunity to analyze real data sets. Larger-scale projects are a unique feature of this book, which let students analyze and interpret real data, while also encouraging them to conduct their own studies and compare approaches and results. This book assumes a calculus background. It is appropriate for undergraduate and graduate engineering or physical science courses or for students taking an introductory course applied statistics.

Computers & Technology

Hogg, Robert

Computer Science

Pearson

This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.

Student Solutions Manual for Applied Statistics for Engineers and Physical Scientists

With a lack of appropriate textbooks available for the new quality management courses now proliferating at business schools, this book fills a crucial need in this growing and changing market. The authors bring a unique blend of experience to the text, including academia, consulting in manufacturing and service industries, and a strong information technology background. The text achieves a balance of both managerial and statistical coverage, with an emphasis on processes and hands-on discussion of quality tools. Case studies and extensive examples complement the text.
The text is written for a "management-oriented" course that emphasizes the managerial aspects of quality; basic statistical tools for achieving quality are also covered. The other book by Ledolter and Burrill (Statistical Quality Control: Strategies and Tools for Continual Improvement, Wiley, 1999) can be used for an in-depth discussion of statistical tools.

Achieving Quality Through Continual Improvement (Spie Proceedings Series; 3261)

Business & Money

Burrill, Claude

Management & Leadership

wiley

The text is written for technique oriented courses on quality like Introduction to Statistical Quality Control/Process Improvement that stress the use of statistical tools.In addition to the statistical tools, the text contains a section (Chapters 2-5) on non-statistical problem solving tools for quality improvement.
The main audience for this book are students in both undergraduate and graduate-level courses on Quality or Quality Control taught in Industrial Engineering programs, Statistics Departments and Schools of Business and Management.Other courses include: Applied Statistical Methods, Engineering Statistics, and Statistics for MBA or Executive MBA programs.This book is also appropriate for use in in-house company training courses on quality.

Statistical Quality Control: Strategies and Tools for Continual Improvement

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This book, it must be said, lives up to the words on its advertising cover: 'Bridging the gap between introductory, descriptive approaches and highly advanced theoretical treatises, it provides a practical, intermediate level discussion of a variety of forecasting tools, and explains how they relate to one another, both in theory and practice.' It does just that!" -Journal of the Royal Statistical Society "A well-written work that deals with statistical methods and models that can be used to produce short-term forecasts, this book has wide-ranging applications. It could be used in the context of a study of regression, forecasting, and time series analysis by PhD students; or to support a concentration in quantitative methods for MBA students; or as a work in applied statistics for advanced undergraduates." -Choice Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government.

Statistical Methods for Forecasting

Abraham, Bovas

Wiley-Interscience

Statistical Methods for Forecasting (Wiley Series in Probability and Statistics)

Looking for an easy-to-understand text to guide you through the tough topic of regression modeling? INTRODUCTION TO REGRESSION MODELING (WITH CD-ROM) offers a blend of theory and regression applications and will give you the practice you need to tackle this subject through exercises, case studies. and projects that have you identify a problem of interest and collect data relevant to the problem's solution. The book goes beyond linear regression by covering nonlinear models, regression models with time series errors, and logistic and Poisson regression models.

Introduction to Regression Modeling (with CD-ROM) (Duxbury Applied)

Cengage Learning'

This manual contains worked out solutions to selected problems in the text.

Student Solutions Manual for Abraham/Ledolter's Introduction to Regression Modeling

This book is about the power of statistical experiments. In the past, books on experimental design focused almost entirely on manufacturing problems. In contrast, although this book is relevant to manufacturing and includes useful examples in that area, its emphasis is on applications to marketing and service operations. The authors provide a fresh and practical treatment of the key topics in designing and analyzing experiments. Testing in the business world is commonplace, and the usual approach is to change one factor at a time while holding other factors constant. This approach may seem logical and appealing, but, as the authors explain, it is highly inefficient, and may lead to wrong conclusions. The better method, the authors propose, is to test all factors simultaneously. Doing so not only reduces the costs of experimenting but also provides the decision-maker with better information. Throughout the book, the authors illustrate concepts with practical examples. In addition, the book includes a set of 13 separate real-world cases based on the actual implementation of experimental design methods.

Testing 1 - 2 - 3: Experimental Design with Applications in Marketing and Service Operations

Stanford University Press

See the best price to sell, buy, or rent books by Ledolter, Johannes. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Ledolter, Johannes

See the best price to sell, buy, or rent books by Ledolter, Johannes. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Applied Statistics for Engineers and Physical Scientists

Applied Statistics for Engineers and Physical Scientists

Student Solutions Manual for Applied Statistics for Engineers and Physical Scientists

Achieving Quality Through Continual Improvement (Spie Proceedings Series; 3261)

Statistical Quality Control: Strategies and Tools for Continual Improvement

Statistical Methods for Forecasting

Statistical Methods for Forecasting (Wiley Series in Probability and Statistics)

Introduction to Regression Modeling (with CD-ROM) (Duxbury Applied)

Student Solutions Manual for Abraham/Ledolter's Introduction to Regression Modeling

Testing 1 - 2 - 3: Experimental Design with Applications in Marketing and Service Operations