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N. Balakrishnan

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Methods and Applications of Statistics in Clinical Trials, Volume 2. Planning, Analysis, and Inferential Methods
электронная книга
5
Год написания книги 2018
Methods and Applications of Statistics in Clinical Trials, Volume 2: Planning, Analysis, and Inferential Methods includes updates of established literature from the Wiley Encyclopedia of Clinical…
Methods and Applications of Statistics in Clinical Trials, Volume 1. Concepts, Principles, Trials, and Designs
электронная книга
5
Год написания книги 2018
A complete guide to the key statistical concepts essential for the design and construction of clinical trials As the newest major resource in the field of medical research, Methods and Applicatio…
Fundamentals of Sensor Network Programming. Applications and Technology
электронная книга
4
Год написания книги 2018
This book provides the basics needed to develop sensor network software and supplements it with many case studies covering network applications. It also examines how to develop onboard applicatio…
Runs and Scans with Applications
электронная книга
4
Год написания книги 2019
Expert practical and theoretical coverage of runs and scans This volume presents both theoretical and applied aspects of runs and scans, and illustrates their important role in reliability analys…
Records
электронная книга
3
Год написания книги 2019
The first and only comprehensive guide to modern record theory and its applications Although it is often thought of as a special topic in order statistics, records form a unique area, independent…
Continuous Multivariate Distributions, Volume 1
электронная книга
4
Год написания книги 2019
Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances…
A Primer on Statistical Distributions
электронная книга
4
Год написания книги 2019
Designed as an introduction to statistical distribution theory. * Includes a first chapter on basic notations and definitions that are essential to working with distributions. * Remaining chapter…