Oblasti, naše knjige

Java, JavaScript, JScript, Perl

C++ Visual C++ C#

Apple - MAC OS X

Visual Basic .NET, VBA, V. Studio

Web design

Android

PHP I MYSQL

Python programiranje

WordPress

AutoCad, ArchiCAD, SolidWorks, Catia, Pro/Engineer

Mašinsko učenje

Access

Animacija

Audio, Multimedia, Video

Baze podataka

Cloud

CSS

Delphi

Digitalna fotografija

Django

E-komerc

ECDL

GOOGLE

Grafika, Dizajn, Štampa

Hardver

Internet

Joomla

jQuery

Mreže

MS Office

Obrada teksta

OFFICE 2013

Programiranje

Raspberry PI

Rečnici

Robotika

Sertifikati

SQL Server

Statistika

Tabele

Telekomunikacije

Unix, Linux

Windows

Windows 7

Windows 8

Zaštita i sigurnost

 

Oblasti, drugi izdavači

Alternativna učenja

Antropologija

Arheologija

Arhitektura

Astrologija

Astronomija

Audio kursevi + knjige

Autobiografija

Automobili

Bajke

Biografija

Biološke nauke

Botanika

Dečije knjige

Dizajn

Domaće pripovetke

Domaći roman

Drama

E-knjiga

Ekologija

Ekonomija

Elektrotehnika

Enciklopedija

Esejistika

Etika

Fantastika

Film

Filologija

Filozofija

Fizika

Fotografija

Geografija

Geologija

Građevinarstvo

Hemija

Hidrotehnika

Hobi

Horor

Humor

Intervju

Istorija

Istorija i teorija književnosti

Istorija umetnosti

Istorijski roman

Knjiga posle posla - Beletristika i ostala izdanja

Knjižare i naše knjige

Književna kritika

Kuvari, hrana i piće

Leksikografija

Lingvistika

Ljubavni roman

logo

Magija

Marketing

Mašinstvo

Matematika

Medicina

Memoari

Menadžment

Modeliranje podataka

Monografija

Muzika

Nagrađivanje knjige

Naučna fantastika

OpenOffice.org

Operativni sistemi

Oracle

Organizacione nauke

Pedagogija

Pisci u medijima

Ples

Poezija

Politika

Poljoprivreda

Popularna medicina

Popularna nauka

Popularna psihologija

Posao

Pozorište

Pravo

Pravoslavlje

Primenjene nauke

Pripovetke

Prirodne nauke

Priručnik

Psihologija

Publicistika

Putopis

Religija

Roman

Satira

Saveti

Slikarstvo

Socijalna mreža - Facebook

Sociologija

Sport

Sport i hobi

Strip

Tableti

Tehnologija

Triler

Turizam

Twitter

Udžbenici

Umetnost

Urbanizam

UX DIZAJN

 

Statistika

 

Simulation for Data Science with R

 

Simulation for Data Science with R

Autor: Matthias Templ
Broj strana: 398
ISBN broj: 9781785881169
Izdavač: PACKT PUBLISHING
Godina izdanja: 2016.

Pregleda (30 dana / ukupno): 22 / 605

Predlog za prevod

  • Twitter
  • Facebook
  • Google plus
  • Linkedin
  • Pinterest
  • Email

 

 

What You Will Learn

  • The book aims to explore advanced R features to simulate data to extract insights from your data.
  • Get to know the advanced features of R including high-performance computing and advanced data manipulation
  • See random number simulation used to simulate distributions, data sets, and populations
  • Simulate close-to-reality populations as the basis for agent-based micro-, model- and design-based simulations
  • Applications to design statistical solutions with R for solving scientific and real world problems
  • Comprehensive coverage of several R statistical packages like boot, simPop, VIM, data.table, dplyr, parallel, StatDA, simecol, simecolModels, deSolve and many more.

Book Description

Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world.

The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results.

By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems.

Authors

Matthias Templ

Matthias Templ is associated professor at the Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology (Austria). He is additionally employed as a scientist at the methods unit at Statistics Austria, and together with two colleagues, he owns the company called data-analysis OG. His main research interests are in the areas of imputation, statistical disclosure control, visualization, compositional data analysis, computational statistics, robustness teaching in statistics, and multivariate methods. In the last few years, Matthias has published more than 45 papers in well-known indexed scientific journals. He is the author and maintainer of several R packages for official statistics, such as the R package sdcMicro for statistical disclosure control, the VIM package for visualization and imputation of missing values, the simPop package for synthetic population simulation, and the robCompositions package for robust analysis of compositional data. In addition, he is the editor of the Austrian Journal of Statistics that is free of charge and open-access. The probability is high to find him at the top of a mountain in his leisure time.

Table of Contents

Chapter 1: Introduction
Chapter 2: R and High-Performance Computing
Chapter 3: The Discrepancy between Pencil-Driven Theory and Data-Driven Computational Solutions
Chapter 4: Simulation of Random Numbers
Chapter 5: Monte Carlo Methods for Optimization Problems
Chapter 6: Probability Theory Shown by Simulation
Chapter 7: Resampling Methods
Chapter 8: Applications of Resampling Methods and Monte Carlo Tests
Chapter 9: The EM Algorithm
Chapter 10: Simulation with Complex Data
Chapter 11: System Dynamics and Agent-Based Models

 

Budite prvi koji će ostaviti komentar.

Ostavite komentar Ostavite komentar

 

Preporučujemo

 

Data Analysis with IBM SPSS Statistics

1. Data Analysis with IBM SPSS Statistics

Master data management & analysis techniques with IBM SPSS Statistics 24

Predlog za prevod

Više o knjizi Više o knjizi

 

SPSS priručnik za preživljavanje prevod 4. izdanja

2. SPSS priručnik za preživljavanje prevod 4. izdanja

Ovaj priručnik baca pojas za spasavanje studentima i istraživačima koji koriste softver za analizu podataka, SPSS. Autorka vodi čitaoca kroz ceo istraživački proces i pomaže u izboru tehnike analize podataka prilagođene datom projektu. U knjizi se razmatraju elementarne i napredne statističke tehnike - od formulisanja istraživačkih pitanja, preko projektovanja studije i analize podataka, do sastavljanja izveštaja o istraživanju. Jasno je predočena svaka tehnika, objašnjavaju se postupci analize, dat je podroban vodič za tumačenje rezultata SPSS-a i primeri prikazivanja dobijenih rezultata u izveštaju.

Cena 1600 RSD

Naša cena 1440 RSD

Više o knjizi Više o knjizi

 

Statistika u istraživanju društvenih pojava

3. Statistika u istraživanju društvenih pojava

Prva deo je posvećen razmatranju osnovnih, bitnih polazišta u primeni opštenaučne statističke metode u istraživanju društvenih pojava kao što su: projektovanje istraživanja u kojima se koristi opštenaučna statistička metoda, kvantifikacija i statistički podaci, predmeti društveno-statističkih istraživanja, fundamentalne kategorije statistike, pojmovi podatak i obrada podataka i njihova svojstva.

Cena 2112 RSD

Više o knjizi Više o knjizi