Statistical computing in C++ and R

Main
Engineering
Computers - Programming
Statistical computing in C++ and R

Statistical computing in C++ and R

Eubank, Randall L., Kupresanin, Ana

5.0 / 5.0

Колко ви харесва тази книга?

Какво е качеството на файла?

Изтеглете книгата за оценка на качеството

Какво е качеството на изтеглените файлове?

Категории:

Engineering
Computers - Programming

Година:

2011

Издателство:

CRC Press

Език:

english

Страници:

535

ISBN 10:

1466515376

ISBN 13:

9781466551831

Серия:

Chapman & Hall/CRC the R series (CRC Press)

Файл:

PDF, 4.09 MB

IPFS:

,

english, 2011

Четете Онлайн

Преобразуването в се извършва

Преобразуването в е неуспешно

Може да се интересувате от

Robert Kruse, Alexander Ryba — Data Structures and Program Design in C++

Jasmin Blanchette, Mark Summerfield — C++ GUI Programming with Qt 4

Bruce Eckel — Thinking in C++ - Volume 1 (2nd Edition)

Herb Sutter — Exceptional C++: 47 engineering puzzles, programming problems, and solutions

Herb Sutter — Exceptional C++ style: 40 new engineering puzzles, programming problems, and solutions

Philip Romanik, Amy Muntz — Applied C++: Practical Techniques for Building Better Software

Christopher Gandrud — Reproducible Research with R and RStudio

Pedro J. Aphalo — Learn R: As a Language (Chapman & Hall/CRC The R Series)

Nathan Whitmore — R for Conservation and Development Projects: A Primer for Practitioners

Hadley Wickham — Advanced R (Second Edition)

Colin Fay; Sébastien Rochette; Vincent Guyader; Cervan Girard — Engineering Production-Grade Shiny Apps

Malcolm Haddon — Using R for Modelling and Quantitative Methods in Fisheries

Yihui Xie — R Markdown Cookbook (Chapman & Hall/CRC The R Series)

Coene, John — Javascript for R (Chapman & Hall/CRC The R Series)

Maria L. Rizzo — Statistical computing with R

David Gerbing — R Visualizations: Derive Meaning from Data

Francis Glassborow — You Can Program in C++: A Programmer's Introduction

Daniel J. Duffy — Introduction to C++ for Financial Engineers with CD: An Object-Oriented Approach

Shaharuddin Salleh, Albert Y. Zomaya, Sakhinah A. Bakar — Computing for Numerical Methods Using Visual C++

Michael R. Chernick — Bootstrap methods: a guide for practitioners and researchers

Cay S. Horstmann, Timothy A. Budd — Big C++

James J. Nutaro — Building Software for Simulation: Theory and Algorithms, with Applications in C++

Geof H. Givens, Jennifer A. Hoeting(auth.) — Computational Statistics, Second Edition

Avinash Kak — Programming With Objects: A Comparative Presentation of Object-Oriented Programming With C++ and Java

Justin London — Modeling derivatives in C++ / Justin London

Nell Dale — C++ Plus Data Structures, Third Edition

James Roberge — A laboratory course in C++ data structures

James Reinders — Intel Threading Building Blocks: Outfitting C++ for Multi-Core Processor Parallelism

Malte Grosser, Henning Bumann, Hadley Wickham — Advanced R Solutions

Müller, Peter; Paulino, Carlos Daniel; Turkman, M. Antónia Amaral — Computational Bayesian statistics : an introduction

Jochen Voss — An Introduction to Statistical Computing: A Simulation-based Approach

Marc S. Paolella — Fundamental Statistical Inference A Computational Approach

Walter W. Piegorsch, Richard F. Levine, Hao Helen Zhang, Thomas C. M. Lee — Handbook of Computational Statistics and Data Science

Graham J. Williams — The Essentials of Data Science: Knowledge Discovery Using R

Oscar Perpinan Lamigueiro — Displaying Time Series, Spatial, and Space-Time Data with R

Robin Lovelace; Jakub Nowosad; Jannes Muenchow — Geocomputation with R

Jonathan K. Regenstein Jr. — Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

Brad Boehmke; Brandon M. Greenwell — Hands-On Machine Learning with R

Claus Thorn Ekstrøm — The R Primer

Yihui Xie — bookdown: Authoring Books and Technical Documents with R Markdown

Antony Unwin — Graphical Data Analysis with R

Yair Shapira — Mathematical Objects in C++.

Най-често използвани термини

Свързани списъци с книги