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Data Driven Statistical Methods

Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material;

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Data Management and Analysis Using JMP

techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis;

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Statistics

completing the course should be able to accurately interpret statistical results and to analyze straightforward data sets.;

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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process;

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Comparing Groups

A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an;

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Statistical Data Analytics

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;

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Data-Driven Policy Impact Evaluation

In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the;

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Supervised Machine Learning

of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness;

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Supervised Machine Learning

of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness;

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Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis;

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Boosted Statistical Relational Learners

This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational;

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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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Data-Driven Computational Neuroscience

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Data-Driven Fault Detection and Reasoning for Industrial Monitoring

This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling;

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Statistical Methods for Fuzzy Data

Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where;

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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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Statistical Analysis of Spherical Data

This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data;

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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 for Stochastic Differential Equations

The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and;

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Statistical Methods for the Evaluation of University Systems

This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined;

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Statistical Analysis of Financial Data

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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Developing Econometrics

that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It;

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Statistics for Data Scientists

often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical;

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Statistical Methods for Reliability Data, Second Edition

Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data;

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Statistics for Management and Economics, Abbreviated

illustrates how vital statistical methods and tools are for today's managers-and teaches you how to apply them to business problems. Using a proven;

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