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Statistical Methods and Applications from a Historical Perspective

anniversary of Italian unification provided the opportunity to examine and discuss the methodological aspects and applications from a historical;

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Statistical Methods and Applications from a Historical Perspective

anniversary of Italian unification provided the opportunity to examine and discuss the methodological aspects and applications from a historical;

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Statistics for Long-Memory Processes

perspective of both theory and practice. This book explores data sets from a wide range of disciplines, such as hydrology, climatology;

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Longitudinal Data Analysis

research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from;

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Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciencesprovides a practical guide to many;

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Modern Engineering Statistics

statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully;

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Solutions Manual to accompany Modern Engineering Statistics

statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully;

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From Microphysics to Macrophysics: Methods and Applications of Statistical Physics. Volume II

This popular, often cited text returns in a softcover edition to provide a thorough introduction to statistical physics and thermodynamics;

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Multifractals

. Multifractals: Theory and Applications pulls together ideas from both these areas using a language that makes them accessible and useful to statistical;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a;

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Advances In Multivariate Statistical Methods

This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and;

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Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry

of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are;

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Statistical Data Analysis Based on the L1-Norm and Related Methods

This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on;

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Chi-Squared Goodness Of Fit Tests With Applications

and scientists conducting statistical analysis in processing of experimental data as well as to students and practitioners with a good;

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Practical Statistics for Data Scientists

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic;

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Statistical Methods in Practice

and examples with a practical approach to statistical analysis. Features examples drawn from a wide range of industries including chemicals;

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Applying and Interpreting Statistics

This book describes the basis, application, and interpretation of statistics, and presents a wide range of univariate and multivariate;

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Multiple Testing Problems in Pharmaceutical Statistics

Useful Statistical Approaches for Addressing Multiplicity Issues Includes practical examples from recent trials Bringing together;

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Statistical Learning and Modeling in Data Analysis

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series;

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Cure Models

from statistical analysis to decision-marking and inference in cancer research Self-contained as sufficient the technical details and;

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Cure Models

from statistical analysis to decision-marking and inference in cancer research Self-contained as sufficient the technical details and;

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Robust Statistics

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into;

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Statistical Methods for Global Health and Epidemiology: Principles, Methods and Applications

enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a;

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Multivariate Statistics

The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications;

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Statistical Shape and Deformation Analysis

. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image;

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Data Analysis In Forensic Science

and presentation of data analyses are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods;

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