Statistics

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Introduction to Web Mapping

1st Edition

Michael Dorman
February 14, 2020

A web map is an interactive display of geographic information, in the form of a web page, that you can use to tell stories and answer questions. Web maps have numerous advantages over traditional mapping techniques, such as the ability to display up-to-date or even real-time information, easy...

Statistical and Econometric Methods for Transportation Data Analysis

3rd Edition

Simon Washington, Matthew G. Karlaftis, Fred Mannering, Panagiotis Anastasopoulos
February 12, 2020

Praise for the Second Edition: The second edition introduces an especially broad set of statistical methods … As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master’s and Ph.D. students, covering topics from simple...

Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences

1st Edition

Robert B. Gramacy
January 08, 2020

Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of experiments, and optimization. Experimentation through simulation, "human out-of-the-loop" statistical...

Probability and Bayesian Modeling

1st Edition

Jim Albert, Jingchen Hu
December 18, 2019

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

1st Edition

Chester Ismay, Albert Y. Kim
December 13, 2019

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for...

Time Series: A First Course with Bootstrap Starter

1st Edition

Tucker S. McElroy, Dimitris N. Politis
December 09, 2019

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate and M.S....

Statistical Programming in SAS

2nd Edition

A. John Bailer
December 09, 2019

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming...

Financial Modelling in Commodity Markets

1st Edition

Viviana Fanelli
December 09, 2019

Financial Modelling in Commodity Markets provides a basic and self-contained introduction to the ideas underpinning financial modelling of products in commodity markets. The book offers a concise and operational vision of the main models used to represent, assess and simulate real assets and...

Practical Spreadsheet Modeling Using @Risk

1st Edition

Dale Lehman, Huybert Groenendaal
December 02, 2019

Practical Spreadsheet Modeling Using @Risk provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous examples based on...

Computer Intensive Methods in Statistics

1st Edition

Silvelyn Zwanzig, Behrang Mahjani
December 02, 2019

This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density...

Basic Environmental Data Analysis for Scientists and Engineers

1st Edition

Ralph R.B. Von Frese
November 27, 2019

Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the extensive and growing...

Data Science and Machine Learning: Mathematical and Statistical Methods

1st Edition

Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman
November 22, 2019

"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or...

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