Statistics

Statistics for Engineering and Physical Science

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Life-Cycle of Structures Under Uncertainty: Emphasis on Fatigue-Sensitive Civil and Marine Structures

1st Edition

Dan M. Frangopol, Sunyong Kim
August 05, 2019

Life-cycle analysis is a systematic tool for efficient and effective service life management of deteriorating structures. In the last few decades, theoretical and practical approaches for life-cycle performance and cost analysis have been developed extensively due to increased demand on structural...

Essentials of Statistics In Agricultural Sciences

1st Edition

Pradeep Mishra, Fozia Homa
July 25, 2019

An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and...

Sturge's Statistical and Thermal Physics, Second Edition

2nd Edition

Jeffrey Olafsen
July 19, 2019

The original work by M.D. Sturge has been updated and expanded to include new chapters covering non-equilibrium and biological systems. This second edition re-organizes the material in a more natural manner into four parts that continues to assume no previous knowledge of thermodynamics. The four...

Nonlinear Estimation: Methods and Applications with Deterministic Sample Points

1st Edition

Shovan Bhaumik, Paresh Date
July 17, 2019

Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses on a comprehensive treatment of deterministic sample point filters (also called Gaussian filters) and their variants for nonlinear estimation problems, for which no closed-form solution is available in general....

Probability and Statistics for Data Science: Math + R + Data

1st Edition

Norman Matloff
June 20, 2019

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes...

Probability and Statistics for Computer Scientists, Third Edition

3rd Edition

Michael Baron
June 14, 2019

Praise for the Second Edition: "The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated...

Time Series with Mixed Spectra

1st Edition

Ta-Hsin Li
June 12, 2019

Time series with mixed spectra are characterized by hidden periodic components buried in random noise. Despite strong interest in the statistical and signal processing communities, no book offers a comprehensive and up-to-date treatment of the subject. Filling this void, Time Series with Mixed...

Time Series: A Data Analysis Approach Using R

1st Edition

Robert Shumway, David Stoffer
May 21, 2019

The goals of this text are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential...

Geocomputation with R

1st Edition

Robin Lovelace, Jakub Nowosad, Jannes Muenchow
March 25, 2019

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and...

Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

1st Edition

Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef
February 06, 2019

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure...

Research Methodology: A Practical and Scientific Approach

1st Edition

Vinayak Bairagi, Mousami V. Munot
February 04, 2019

This book offers a design research methodology intended to improve the quality of design research- its academic credibility, industrial significance and societal contribution by enabling more thorough, efficient and effective procedures....

Statistics in Engineering: With Examples in MATLAB® and R, Second Edition

2nd Edition

Andrew Metcalfe, David Green, Tony Greenfield, Mayhayaudin Mansor, Andrew Smith, Jonathan Tuke
January 29, 2019

Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MATLAB and R covers the fundamentals of...

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