Applied Linear Regression Models

Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor.

Computers & Technology

Nachtsheim, Christopher J.

Kutner, Michael H.

Neter,John

Wasserman,William

Computer Science

McGraw-Hill/Higher Education

Kutner, Neter, Nachtsheim, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor by using larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Business & Money

Nachtsheim, Chris

Kutner,Michael

Education & Reference

McGraw/Hill/Irwin

"Applied Statistics" has been thoroughly revised to present introductory statistics in a clear and easy to understand format to meet the needs and mathematical skills of today's students. The text reflects current theories and practices while providing all the essential concepts and methods that beginning students need. The author team emphasizes the practical, versatile nature of statistics, thoroughly illustrating every concept with real world applications and examples. This text now comes in an Annotated Instructor's Edition, an all-in-one resource that combines, in a single volume, an Instructor's Manual (with complete solutions) in the fomat of the text with margin annotations throughout the text. It provides easy access to on-the-spot answers and can be used as a road map for integrating the supplements into classroom preparations and lectures. New to this edition are increased use of computer graphics and output (including MINITAB, Business MYSTAT with QC Tools and SAS), new problems, exercises and case studies, new real-world examples and comment boxes, expanded discussion of quality control. Coverage of statistical methods in quality control and quality improvement is now a separate chapter with added material on experimental design, control charts and reliability. The concept of process and product improvements is found throught the text's examples and problems.

Applied Statistics

Science & Math

Whitmore, G. A.

Mathematics

Allyn&Bacon

Applied Statistics, Instructor's Annotated Edition, 4th

"Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Richard D.Irwin

Applied Linear Statistical Models: Regression, Analysis of Variance, and Experimental Designs

CRC-Press

Applied Linear Regression Models was listed in the newsletter of the Decision Sciences Institute as a classic in its field and a text that should be on every member's shelf. The third edition continues this tradition. It is a successful blend of theory and application. The authors have taken an applied approach, and emphasize understanding concepts; this text demonstrates their approach trough worked-out examples. Sufficient theory is provided so that applications of regression analysis can be carried out with understanding. John Neter is past president of the Decision Science Institute, and Michael Kutner is a top statistician in the health and life sciences area. Applied Linear Regression Models should be sold into the one-term course that focuses on regression models and applications. This is likely to be required for undergraduate and graduate students majoring in allied health, business, economics, and life sciences.

There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.

Applied Linear Statistical Models

Nachtsheim,Christopher

True stories about a Pennsylvania Game Warden tracking down wildlife poachers and bringing them to justice

Poachers, Lies and Alibis (Penn's Woods Stories)

Nature & Ecology

Penn's Woods Publications

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