Name: New Statistical Developments in Data Science: Sis 2017, Florence, Italy, June 28-30 (en Inglés)
SKU: 57194936
Price: 147.87 USD
Availability: InStock
Author: Petrucci, Alessandra ; Racioppi, Filomena ; Verde, Rosanna

portada New Statistical Developments in Data Science: Sis 2017, Florence, Italy, June 28-30 (en Inglés)

New Statistical Developments in Data Science: Sis 2017, Florence, Italy, June 28-30 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Petrucci, Alessandra ; Racioppi, Filomena ; Verde, Rosanna

Idioma

Inglés

N° páginas

479

Encuadernación

Tapa Dura

Dimensiones

24x18.7x2.9 cm

Peso

0.91 kg.

ISBN13

9783030211578

Categorías

Gestión financiera de las sociedades
Fundamentos matemáticos
Software de matemáticas y estadísticas

New Statistical Developments in Data Science: Sis 2017, Florence, Italy, June 28-30 (en Inglés)

Petrucci, Alessandra ; Racioppi, Filomena ; Verde, Rosanna (Autor) · Springer · Tapa Dura

Libro Nuevo Importado

Envío: 20 a 27 días háb.

$ 295.74$ 147.87

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 147.87

Llega entre el 21 Sep y el 02 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "New Statistical Developments in Data Science: Sis 2017, Florence, Italy, June 28-30 (en Inglés)"

This volume collects the extended versions of papers presented at the SIS Conference "Statistics and Data Science: new challenges, new generations", held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to "Data Science". The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt withhere. Lastly, it will help Statisticians and Data Scientists recognize their counterparts' fundamental role.