Livrare gratuită pentru comenzile peste 349,00 lei.

Verifică starea comenzii

Faceți parte dintr-o comunitate de iubitori de cărți din întreaga lume și beneficiați de o mulțime de avantaje Creați-vă un cont gratuit

Transport gratuit la punctele de livrare Pick Up peste 349.00 lei

Packeta 15.00 lei Cargus 28.00 lei Easybox 20.00 lei FAN 20.00 lei Punct FAN 16.00 lei Punct DPD 17.00 lei Curier Sameday 24.00 lei Curier DPD 25.00 lei

Contact

Cum să cumpăr

Ajutor

Contul meu

▸ Gol :-(

Livrare gratuită pentru comenzile peste 349,00 lei.

Monte-Carlo Simulation-Based Statistical Modeling

Name: Monte-Carlo Simulation-Based Statistical Modeling
Brand: Springer Verlag, Singapore
SKU: 20095227
Price: 740.72 RON
Availability: InStock
Author: Ding-Geng (Din) Chen
ISBN: 9789811098390

Ding-Geng (Din) Chen

John Dean Chen

Limba

engleză

Carte Carte broșată

Codul Libristo: 20095227

Editura Springer Verlag, Singapore, iulie 2018

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical mod... Descrierea completă

Codul Libristo: 20095227

341 b

740.72 lei

În depozitul extern Expediem în 8-11 zile

30 de zile pentru retur bunuri

Clienții au cumpărat de asemenea

Astrologia wspolczesna Tom 3 Elena Suszczynska

Carte broșată

58.16 lei

Tout ce dont reve une petite fille: Livre de coloriage Cristie Will

Carte broșată

47.11 lei

La sorcière aux champignons - Tome 05 Tachibana Higuchi

Carte

57.54 lei

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical modeling using Monte-Carlo simulations. The data and computer programs used here will also be made publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction.