Name: Probability Theory: An Introduction Using r
SKU: 56111813
Price: 5628.00 TWD
Availability: InStock
Author: Shailaja Deshmukh

portada Probability Theory: An Introduction Using r

Probability Theory: An Introduction Using r

Type

Physical Book

Author

Shailaja Deshmukh

Publisher

Crc Press

Language

English

Pages

584

Format

Hardcover

Dimensions

23.4x15.6x3.3 cm

ISBN13

9781032617978

Edition No.

Probability Theory: An Introduction Using r

Shailaja Deshmukh (Author) · Crc Press · Hardcover

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Synopsis "Probability Theory: An Introduction Using r"

This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation. It discusses conceptual and computational examples in detail, to provide a thorough understanding of basic techniques and develop an enjoyable read for students seeking suitable material for self-study. It illustrates fundamental concepts including fields, sigma-fields, random variables and their expectations, various modes of convergence of a sequence of random variables, laws of large numbers and the central limit theorem. - Computational exercises based on R software are included in each Chapter - Includes a brief introduction to the basic functions of R software for beginners in R and serves as a ready reference. - Includes Numerical computations, simulation studies, and visualizations using R software as easy tools to explain abstract concepts - Provides multiple-choice questions for practice - Incorporates self-explanatory R codes in every chapter This textbook is for advanced students, professionals, and academic researchers of Statistics, Biostatistics, Economics and Mathematics.

Shailaja Deshmukh

(Author)

View Author's Page

Shailaja Rajendra Deshmukh es profesora de estadística en la Universidad de Pune, India. Su especialidad incluye procesos estocásticos, probabilidad aplicada y análisis de datos de microarrays. Ha publicado varios libros que combinan teoría estadística con aplicaciones prácticas: Multiple Decrement Models in Insurance: An Introduction Using R (2012), Actuarial Statistics: An Introduction Using R, Statistics Using R, y Microarray Data: Statistical Analysis Using R. Su obra suele incorporar ejemplos reales, modelos estadísticos y uso del software R para hacer accesible la cuantificación de riesgos, primas o reservas en seguros, entre otras aplicaciones.

Su influencia se observa en el uso educativo de sus libros, en cursos de estadística y actuaría, y en sus publicaciones en revistas revisadas por pares, lo que la sitúa como una figura valorada en su campo.

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