Kalimuthu Krishnamoorthy Statistical Tolerance Regions
Купить за 14470.63 RUR
A modern and comprehensive treatment of tolerance intervals and regions The topic of tolerance intervals and tolerance regions has undergone significant growth during recent years, with applications arising in various areas such as quality control, industry, and environmental monitoring.
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Catherine Forbes Statistical Distributions
Купить за 8295.71 RUR
A new edition of the trusted guide on commonly used statistical distributions Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various
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Marcello D'Orazio Statistical Matching
Купить за 12329.32 RUR
There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching
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Iwao Teraoka Statistical Thermodynamics
Купить за 9321.64 RUR
This textbook introduces chemistry and chemical engineering students to molecular descriptions of thermodynamics, chemical systems, and biomolecules. Equips students with the ability to apply the method to their own systems, as today's research is microscopic and molecular and articles are written
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Harvey Goldstein Multilevel Statistical Models
Купить за 9615.93 RUR
Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough
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Joseph Goodman W. Statistical Optics
Купить за 10622.19 RUR
This book discusses statistical methods that are useful for treating problems in modern optics, and the application of these methods to solving a variety of such problems This book covers a variety of statistical problems in optics, including both theory and applications. The text covers the
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Gerald J. Hahn Statistical Intervals
Купить за 10756.95 RUR
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,
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Myles Hollander Nonparametric Statistical Methods
Купить за 12911.4 RUR
Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data
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Marek Gierlinski Understanding Statistical Error
Купить за 4428.59 RUR
This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Understanding Statistical Error – A Primer for Biologists: Introduces the essential topic of error analysis to
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Группа авторов Multivariate Statistical Simulation
Купить за 26153.1 RUR
Provides state-of-the-art coverage for the researcher confronted with designing and executing a simulation study using continuous multivariate distributions. Concise writing style makes the book accessible to a wide audience. Well-known multivariate distributions are described, emphasizing a few
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Группа авторов Optimal Statistical Decisions
Купить за 14384.2 RUR
The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.
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Группа авторов Bayesian Statistical Modelling
Купить за 11395.28 RUR
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and
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