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Applied Multivariate Statistical Analysis
This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples. Offers an abundance of examples and exercises based on real data. Appropriate for experimental scientists in a variety of disciplines.
Applied Multivariate Statistical Analysis
This book is concerned with statistical methods for describing and analyzing multivariate data. The authors hope that their discussions will meet the needs of experimental scientists, in a wide variety of subject matter areas, as a readable introduction to the staistical analysis of multvariate observations. The authors emphasize the applications of multivariate methods and, have attempted to make the mathematics as palatable as possible.
Statistics
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Applied Multivariate Statistical Analysis
For an undergraduate or graduate level course that explores the statistical methods for describing and analyzing multivariate data. Appropriate for experimental scientists in a variety of disciplines, this text offers a readable introduction to the statistical analysis of multivariate observations.
Miller & Freund's Probability and Statistics for Engineers
This text is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data have been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the book emphasizes designed experiments, especially two-level factorial design.
Miller & Freund's Probability and Statistics for Engineers
This example and exercise-rich exploration of both elementary probability and basic statistics places a strong emphasis on engineering and science applications, many using data collected from the author's consulting experience. In later chapters, there is an emphasis on designed experiments, especially two-level factorial design.Includes a vast, rich collection of problem sets, current coverage of two-level factorial design, curve fitting, and case studies in the first two chapters.For those who are interested in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics.
Miller and Freund's Probability and Statistics for Engineers
An update of a classic text.
Business Statistics, Student Solutions Manual
This book helps readers understand the reasoning by which findings from sample data can be extended to general conclusions to solve business problems. It discusses statistical methods and includes an explanation of their underlying assumptions and the dangers of ignoring them. It emphasizes the use of computers for calculations and provides numerous data sets and computer outputs.
