Ebook > Scienza > Matematica > Holger Kantz & Thomas Schreiber: Nonlinear Time Series Analysis (PDF)

Holger Kantz & Thomas Schreiber
Nonlinear Time Series Analysis

Supporto

Copertina di Holger Kantz & Thomas Schreiber: Nonlinear Time Series Analysis (PDF)

€94.33

Lingua Inglese ● Formato PDF ● ISBN 9780511075421 ● Casa editrice Cambridge University Press ● Pubblicato 2003 ● Scaricabile 6 volte ● Moneta EUR ● ID 2331703 ● Protezione dalla copia Adobe DRM

Richiede un lettore di ebook compatibile con DRM

Altri ebook dello stesso autore / Editore

Holger Kantz Thomas Schreiber

47.429 Ebook in questa categoria

Copertina di Jiling (Auckland University of Technology, New Zealand) Cao & Warren B. (The University of Auckland, New Zealand) Moors: Separate and Joint Continuity

Jiling (Auckland University of Technology, New Zealand) Cao & Warren B. (The University of Auckland, New Zealand) Moors: Separate and Joint Continuity

Separate and Joint Continuity presents and summarises the main ideas and theorems that have been developed on this topic, which lies at the interface between General Topology and Functional Analysis …

Copertina di COMAP: For All Practical Purposes

COMAP: For All Practical Purposes

Copertina di Lucia Darrow & Walter DeGrange: Field Guide to Compelling Analytics

Lucia Darrow & Walter DeGrange: Field Guide to Compelling Analytics

Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions. In the past, soft skills such …

Copertina di Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional rela …

Copertina di Chris (University of Bath, UK) Chatfield: Problem Solving

Chris (University of Bath, UK) Chatfield: Problem Solving

This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the …

Copertina di Rudolf Taschner: Numbers at Work

Rudolf Taschner: Numbers at Work

Drawing primarily from historical examples, this book explains the tremendous role that numbers and, in particular, mathematics play in all aspects of our civilization and culture. The lively style …

Copertina di Martin Hugh (University of Victoria, Division of Continuing Studies, Canada) Monkman: The Data Preparation Journey

Martin Hugh (University of Victoria, Division of Continuing Studies, Canada) Monkman: The Data Preparation Journey

The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With t …

Copertina di Wentao Huang & Jibin Li: Planar Dynamical Systems

Wentao Huang & Jibin Li: Planar Dynamical Systems

In 2008, November 23-28, the workshop of ”Classical Problems on Planar Polynomial Vector Fields ” was held in the Banff International Research Station, Canada. Called ‘classical problems’, it was con …

Copertina di H.R. Madala: Inductive Learning Algorithms for Complex Systems Modeling

H.R. Madala: Inductive Learning Algorithms for Complex Systems Modeling

Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and …

Copertina di John E. Kolassa: An Introduction to Nonparametric Statistics

John E. Kolassa: An Introduction to Nonparametric Statistics

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data.　Rank-based and resamplin …

Pagina successiva >>>