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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Intro To Statistical Analysi Of Lab Data

Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods;

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Topics in Theoretical and Applied Statistics

statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.;

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Statistical Methods for Biostatistics and Related Fields

statistical methodologies together with a selected scope of their main mathematical properties and their application in a real case study.;

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Statistical Methods for Biostatistics and Related Fields

statistical methodologies together with a selected scope of their main mathematical properties and their application in a real case study.;

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Statistical Learning Using Neural Networks

with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with;

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Statistical Learning Using Neural Networks

with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with;

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Probabilistic Inference and Statistical Methods in Network Analysis

social network software. Provide the reader with the insights into the development of network analysis by using various statistical methodologies;

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Sequential Methods and Their Applications

. Functional in a variety of statistical problems, the authors' interactive computer programs show how the methodologies discussed can be implemented;

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Advanced Linear Models

prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression;

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Statistical Genetics

Statistical genetics is a scientific discipline that is concerned with developing statistical methods for analyzing genetic data. This;

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Analysis in Nutrition Research

Contains a parallel description of statistical methodologies used for each study design Presents data management;

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Statistical Quality Technologies

products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been;

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Essential Analytics for Hospital Managers: A Guide to Statistical Problem Solving

methodologies ranging from basic statistical concepts (means and standard deviations) to more advanced statistics (Poisson distributions and queuing;

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Sampling Methodologies with Applications

advanced and theoretical or too applied, descriptive, and lacking statistical results. Sampling Methodologies with Applications offers a;

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Sampling Methodologies with Applications

advanced and theoretical or too applied, descriptive, and lacking statistical results. Sampling Methodologies with Applications offers a;

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Computationally Intensive Statistics for Intelligent IoT

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas;

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Statistical Genetics

association, giving practical tutorial sessions on established and new methodologies and covering several software packages. Has an accompanying;

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The Statistical Analysis of Recurrent Events

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;

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The Statistical Analysis of Recurrent Events

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;

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Developing, Validating And Using Internal Ratings

requirements and statistical bases. * Discusses available methodologies to build, validate and use internal rate models. * Demonstrates how to use;

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Dynamic Laser Speckle and Applications

main methodologies for statistical and image analysis. It then deals with the concept of frequency decomposition before moving on to a;

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Dynamic Laser Speckle and Applications

main methodologies for statistical and image analysis. It then deals with the concept of frequency decomposition before moving on to a;

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Design & Analysis Clinical Trials 3rd Ed

issues as well as newly developed statistical methodologies Practical examples of clinical trials that demonstrate everyday applicability, with;

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A Course on Small Area Estimation and Mixed Models

This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers;

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Bioinformatics Methods

State-of-the-art statistical methodologies in genomics, proteomics, epigenetics and metabolomics Multiple chapters on protein-protein;

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