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Statistical Methods for Hospital Monitoring with R

safety community will also find this book of interest Statistical Methods for Hospital Monitoring with R: * Provides functions to perform quality;

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Statistical Methods for Groundwater Monitoring

of statistical prediction limits for a gamma-distributed random variable, with a focus on estimation and testing of parameters in environmental;

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An Introduction to Acceptance Sampling and SPC with R

An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and;

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An Introduction to Acceptance Sampling and SPC with R

An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and;

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Statistical Methods for Healthcare Performance Monitoring

methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for;

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Statistical Methods for Healthcare Performance Monitoring

methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for;

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Understanding and Applying Basic Statistical Methods Using R

Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and;

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Statistical Methods for Survival Trial Design

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the;

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Statistical Methods for Survival Trial Design

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from;

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R;

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Statistical Framework for Recreational Water Quality Criteria and Monitoring

With increasing rates of pollution to both land and aquatic environments, regulations for the quality of our waters are necessarily;

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Statistical Computing with R

statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to;

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Introduction to Statistical Process Control

assumption is invalid and discusses control charts for profile monitoring. All computations in the examples are solved using R, with R functions and;

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Statistics Using R

practicing statistician, it will serve as a guide to R language for statistical analysis. For a researcher, it is a dual guide, simultaneously;

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Analysis of Correlated Data with SAS and R

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods;

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Analysis of Correlated Data with SAS and R

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods;

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Permutation Statistical Methods with R

comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text;

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Road Traffic Modeling and Management

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;

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Nonparametric Statistical Methods Using R

gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;

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Intermediate Statistical Methods for Business and Economics

Intermediate Statistical Methods for Business and Economics is een boek van R. Van den Honert;

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Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R

experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and;

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Chemical Process Performance Evaluation

Performance Evaluation introduces statistical methods and modeling techniques for process monitoring, performance evaluation, and fault diagnosis;

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Artificial Intelligence Tools

uncertainties associated with diagnostic processes Provides data sets, sample signals, and MATLAB (R) code for algorithm testing Artificial;

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Artificial Intelligence Tools

fuzzy logic to explain the uncertainties associated with diagnostic processes Provides data sets, sample signals, and MATLAB (R) code;

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