Books about Inferential from Amazon.com

Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts.

You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis.

Organized into four distinct sections, Statistics in a Nutshell offers you:

Introductory material:
• Different ways to think about statistics
• Basic concepts of measurement and probability theory
• Data management for statistical analysis
• Research design and experimental design
• How to critique statistics presented by others


Basic inferential statistics:
• Basic concepts of inferential statistics
• The concept of correlation, when it is and is not an appropriate measure of association
• Dichotomous and categorical data
• The distinction between parametric and nonparametric statistics


Advanced inferential techniques:
• The General Linear Model
• Analysis of Variance (ANOVA) and MANOVA
• Multiple linear regression


Specialized techniques:
• Business and quality improvement statistics
• Medical and public health statistics
• Educational and psychological statistics

Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests.

With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want..
Price: $16.95 [Notify me when price goes down.]

Geography students need a solid introduction to the variety of ways in which statistical procedures are used to explore and to solve realistic geographic problems. This book is designed to provide a comprehensive and understandable introduction to statistical methods in a practical, problem solving framework. Students who use this text in a spatial analysis or statistical methods course will acquire a well-grounded foundation and feel comfortable in applying statistical techniques in research problems or situations that they might encounter in their subsequent geographic education and careers.

This book is targeted for undergraduate geography majors and beginning graduate students who do not have a strong background in statistical approaches to geographic problem solving..
Price: $112.37 [Notify me when price goes down.]

Picking up where Elements of Statistics I leaves off, this study guide clearly explains discrete probability distribution, including normal, continuing, sampling, and other distributions The practical, cross-referenced problems throughout are drawn from such fields as anthropology, biology, business, government, medecine, psychology and sociology, and the solutions are fully explained. A perfect supplement to the leading textbooks, students will also find this book ideal for independent study. Supplementary questions aid self-testing.

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Price: $7.15 [Notify me when price goes down.]

Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts..
Price: $7.98 [Notify me when price goes down.]

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Price: $15.59 [Notify me when price goes down.]

Soft sensors are inferential estimators, drawing conclusions from process observations when hardware sensors are unavailable or unsuitable; they have an important auxiliary role in sensor validation when performance declines through senescence or fault accumulation.

The non-linear behaviour exhibited by many industrial processes can be usefully modelled with the techniques of computational intelligence: neural networks; fuzzy systems and nonlinear partial least squares.

Soft Sensors for Monitoring and Control of Industrial Processes underlines the real usefulness of each approach and the sensitivity of the individual steps in soft-sensor design to the choice of one or the other. Design paths are suggested and readers shown how to evaluate the effects of their choices. All the case studies reported, resulting from collaborations between the authors and a number of industrial partners, raised challenging soft-sensor-design problems. The applications of soft sensors presented in this volume are designed to cope with the whole range from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation. Some of the soft sensors developed here are implemented on-line at industrial plants.

Features:

• soft-sensor design;
• advice on data selection and choice of model structure;
• model validation;
• strategies for the improvement of soft-sensor performance;
• uses of soft sensors in fault detection and sensor validation;
• soft sensors in use in industrial applications such as a debutanizer column and a sulfur recovery unit.

This monograph guides interested readers – researchers, graduate students and industrial process technologists – through the design of their own soft sensors. It is self-contained with full references and appraisal of existing literature and data sets for some of the case studies can be downloaded from springer.com.

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Price: $97.97 [Notify me when price goes down.]