Core Statistics Core Statistics
    • 34,99 €

Descrizione dell’editore

Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while focusing on general methods applicable to a wide range of models and emphasizing the common questions addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student needs in order to make the transition to serious statistical analysis: inference; modeling; computation, including some numerics; and the R language. Aimed also at any quantitative scientist who uses statistical methods, this book will deepen readers' understanding of why and when methods work and explain how to develop suitable methods for non-standard situations, such as in ecology, big data and genomics.

GENERE
Scienza e natura
PUBBLICATO
2015
27 marzo
LINGUA
EN
Inglese
PAGINE
281
EDITORE
Cambridge University Press
DIMENSIONE
31,6
MB

Altri libri di Simon N. Wood

Altri libri di questa serie

Introduction to Malliavin Calculus Introduction to Malliavin Calculus
2018
Probability on Graphs: Second Edition Probability on Graphs: Second Edition
2018
Lectures on the Poisson Process Lectures on the Poisson Process
2017
Noise Sensitivity of Boolean Functions and Percolation Noise Sensitivity of Boolean Functions and Percolation
2014
The Surprising Mathematics of Longest Increasing Subsequences The Surprising Mathematics of Longest Increasing Subsequences
2015