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Mathematical Programming In Statistics

Develops the theory and methods of mathematical programming for application to problems in statistics. Exploits the structure of the;

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Quadratic Programming with Computer Programs

Quadratic programming is a mathematical technique that allows for the optimization of a quadratic function in several variables. QP is a;

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Quadratic Programming with Computer Programs

Quadratic programming is a mathematical technique that allows for the optimization of a quadratic function in several variables. QP is a;

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Mathematical Programming And Game Theory For Decision Making

This edited book presents recent developments and state-of-the-art review in various areas of mathematical programming and game theory. It;

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Approximate Dynamic Programming

Curses of Dimensionality uniquely integrates four distinct disciplines?Markov design processes, mathematical programming, simulation, and;

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Statistics for Linguists

mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this;

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Statistics for Linguists

mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this;

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Mathematical Programming

Written by a trailblazer in the field, this classic of mathematical programming and operational research first appeared nearly 50 years ago;

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Probability and Mathematical Statistics

This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text;

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Interpolating Cubic Splines

The study of spline functions is an outgrowth of basic mathematical concepts arising from calculus, analysis and numerical analysis. Spline;

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Bayesian Statistics The Fun Way

with bomb fuses, estimation through precipitation, and come away with some strong mathematical reasoning skills. This is a super approachable;

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Essential Statistics In Business And Economics

focus on presenting statistical concepts as applied in business - as opposed to providing programming methods used to find a mathematical;

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Topics in Finite and Discrete Mathematics

, mathematical finance, graphs, linear programming, statistics, computer science algorithms, and groups. A key feature is the abundance of interesting;

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Topics in Finite and Discrete Mathematics

, mathematical finance, graphs, linear programming, statistics, computer science algorithms, and groups. A key feature is the abundance of interesting;

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Primer On Scientific Programming With Python

program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the;

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Mathematical Statistics

This text contains 300 problems in mathematical statistics, together with detailed solutions.;

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Beginning Data Science in R 4

mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a;

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Mathematics for Economists

This text contains the mathematical material necessary as background for the topics covered in advanced microeconomics courses. It focuses;

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Statistics Using Stata

Engaging and accessible to students from a wide variety of mathematical backgrounds, Statistics Using Stata combines the teaching;

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A Python Data Analyst s Toolkit

. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The;

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Mathematical Optimisation in Economics

Preface by B. de Finetti.- G.Th. Guilbaud: Les equilibres dans les modeles economiques.-H.W. Kuhn: Locational problems and mathematical;

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Introduction to Mathematical Statistics, Global Edition

For courses in mathematical statistics. Comprehensive coverage of mathematical statistics - with a proven approach Introduction;

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Mathematical Programming

Mathematical Programming is een boek van Kluwer Academic Publishers;

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Learn R for Applied Statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data explor;...

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An Introduction to Data Analysis in R

strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and;

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Mathematical Programming and Game Theory

This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to;

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Introduction to Mathematical Statistics and Its Applications, An

For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to;

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