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Provides the optimal introduction to MATLAB and Simulink, the primary tools in engineering, science, and industry for simulating... Læs mere
It covers topics such as statistical process control, including multivariate methods, the design of experiments, including computerexperiments and reliability methods, including Bayesian reliability.
Embedded in the IBM ILOG CPLEX Optimization Studio with its solver engine CPLEX, OPL has been popular for years not only for academic and scientific purposes, but also among practitioners who need to model and solve large-scale real-world business optimization problems.
In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to design and analyze control systems using MATLAB’s specialized Control Systems Toolbox.
This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need... Læs mere
In this book, readers embark on an in-depth journey into conducting complex survey analysis with the {srvyr}... Læs mere
Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of... Læs mere
Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of... Læs mere
This book focuses on several skew-normal mixed effects models, and systematically explores the statistical inference theories, methods, and applications... Læs mere
This practical guide shows programmers who understand analysis concepts how to build the skills necessary to achieve business value. Author Deanne Larson helps you bridge the technical and business worlds to meet these requirements.
This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply.