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# đź“™ Statistical Intervals by William Q. Meeker, Gerald J. Hahn, Luis A. Escobar â€” epub download

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Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format

Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervalsâ€”such as prediction intervals, tolerance intervals and confidence intervals on distribution quantilesâ€”frequently needed in practice, but often neglected in introductory courses.

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Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervalsâ€”such as prediction intervals, tolerance intervals and confidence intervals on distribution quantilesâ€”frequently needed in practice, but often neglected in introductory courses.

- Series:
**Wiley Series in Probability and Statistics** - Author:
**William Q. Meeker, Gerald J. Hahn, Luis A. Escobar** - Year:
**2017** - Publisher:
**Wiley** - Language:
**English** - ISBN:

- File size:
**6 877 355** - Format:
**pdf**

Security code:

"Traces the historical development of the normal law. Second Edition offers a comprehensive treatment of the bivariate normal distribution--presenting entirely new material on normal integrals, asymptotic normality, the asymptotic properties of order stat...

Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without much attention paid to how statistics is actually used.. In contrast, Modern Mathematical Statistics with Application...

This text presents a theory of probabilistic reasoning, statistical inference and decision. The book is concerned with the problems of reasoning under conditions of uncertainty, partial information and ignorance. It is argued that, in order to give approp...

More than ever, American industry-especially the semiconductor industry-is using statistical methods to improve its competitive edge in the world market. It is becoming more imperative that graduate engineers have solid statistical know-how, yet engineers...

ASA-SIAM Series on Statistics and Applied Probability 17 This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments, which are required whenever a new test system is developed to monitor a manufacturing proce...

An introductory perspective on statistical applications in the field of engineering Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, thi...

ASA-SIAM Series on Statistics and Applied Probability 17 This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments, which are required whenever a new test system is developed to monitor a manufacturing proce...

Two critical questions arise when one is confronted with a new problem that involves the collection and analysis of data. How will the use of statistics help solve this problem? Which techniques should be used? Statistics for Environmental Engineers, Seco...

In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfull...

Offering a timely snapshot of current theory and research in the field of psychology in foreign language learning, this book is accessible to both specialists and non-specialists. Each chapter focuses on a different psychological construct and provides an...