This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.

Time Series Analysis: With Applications in R (Springer Texts in Statistics)

Business & Money

Cryer, Jonathan D.

Chan, Kung-Sik

Insurance

Springer

This text employs the latest ideas in teaching business statistics and follows the philosophy espoused at the conference "Making Statistics More Effective in Schools of Business" (MSMESB). It emphasizes modern statistical methods and data analysis with a decreased emphasis on classical hypothesis testing and probability. It presents a problem-solving approach to the analysis of real data sets and procedures for data collection, design, and interpretation. It covers statistics in the context of the scientific method for problem recognition, problem formulation, and problem solving. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice.

Statistics for Business: Data Analysis and Modeling (Duxbury Series in Business Statistics and Decision Sciences)

Miller, Robert B.

Management & Leadership

Cengage Learning'

This text employs the very latest ideas in teaching business statistics and uses the 'Making Statistics More Effective in Schools of Business' philosophy. The text makes business statistics more relevant to business and industry practice and provides an increased emphasis on modern statistical methods and a decreased emphasis on classical descriptive measures and probability. The text presents a problem-solving approach to the analysis of real data sets and procedures for data collection and design. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice.

Student Solutions Manual for Cryer/Miller's Statistics for Business, 2nd

Economics

Written by developers Barbara Ryan and Brian Joiner, and professor of statistics Jon Cryer, this text illustrates by example and step-by-step instruction how to use MINITAB 14 to explore and analyze data. The book introduces readers to MINITAB software while understanding that they may also be learning statistics at the same time. The authors illustrate how statistical concepts apply to data analysis through examples. More than 4,000 colleges, universities, and high schools rely on MINITAB, making this software the educational standard. Because MINITAB is the leading package used in industry for quality and process improvement, students who learn MINITAB in class will have the advantage of knowing how to use a real-world business tool.

MINITAB Handbook: Updated for Release 14

Computers & Technology

Ryan, Barbara F.

Joiner, Brian L.

Software

Brooks/Cole - Thomson Learning Inc.

The Duxbury Series in Statistics and Decision Sciences

Statistics for business: Data analysis and modelling (The Duxbury advanced series in statistics and decision sciences)

PWS-Kent

Minitab handbook for Windows, release 12 / Jonathan D. Cryer

Science & Math

Mathematics

hayden\mcneil

The text integrates classical regression and smoothing procedures with a modern emphasis on model building. It includes a solid balance of theory and applications and the interactive use of MINITAB. This book should be of interest to degree students on courses in time series analysis and forecasting.

Time Series Analysis

Wadsworth Pub. Co.

Master MINITAB, the leading software package used in industry for quality and process improvement with the MINITAB HANDBOOK: UPDATED FOR RELEASE 16. This book illustrates by example and step-by-step instruction how to use MINITAB 16 to explore and analyze data and uses examples to illustrates how statistical concepts apply to data analysis. More than 4,000 colleges, universities, and high schools rely on MINITAB, making this software the educational standard.

MINITAB Handbook: Update for Release 16

This book presents an accessible approach to understanding time series models and their applications. The ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment.

Authored by leading statistics educators, this guide is designed to accompany all leading textbooks.

An Electronic Companion to Statistics

Cobb, George

Cogito Learning Media Inc.

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

Books by Cryer, Jonathan D.

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

Time Series Analysis: With Applications in R (Springer Texts in Statistics)

Statistics for Business: Data Analysis and Modeling (Duxbury Series in Business Statistics and Decision Sciences)

Student Solutions Manual for Cryer/Miller's Statistics for Business, 2nd

MINITAB Handbook: Updated for Release 14

Statistics for business: Data analysis and modelling (The Duxbury advanced series in statistics and decision sciences)

Minitab handbook for Windows, release 12 / Jonathan D. Cryer

Time Series Analysis

MINITAB Handbook: Update for Release 16

Time Series Analysis: With Applications in R (Springer Texts in Statistics)

An Electronic Companion to Statistics