The definitive guide to statistical thinkingStatistics are everywhere, as integral to science as they are to business, and in the …
This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical …
This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new …
Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an …
A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based …
This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus …
Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility …
This book presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components …
Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Introductory Statistics Using …
Data science and analytics have emerged as the most desired fields in driving business decisions. Using the techniques and methods …
Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insights Key Features …
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