Copulabased Markov Models For Time Series Parametric Inference And Process Control Springerbriefs In Statistics

Li-Hsien Sun

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Copulabased Markov Models For Time Series Parametric Inference And Process Control Springerbriefs In Statistics
Chapter 1 Overview of the book with data examples. -Chapter 2 Copula and Markov models.- Chapter 3 Estimation, model diagnosis, and process control under the normal model.- Chapter 4 Estimation under the normal mixture model for financial time series data.- Chapter 5 Bayesian estimation under the t-distribution for financial time series data.- Chapter 6 Control charts of mean and variance using copula Markov SPC...

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Copulabased Markov Models For Time Series Parametric Inference And Process Control Springerbriefs In Statistics

Chapter 1 Overview of the book with data examples. -Chapter 2 Copula and Markov models.- Chapter 3 Estimation, model diagnosis, and process control under the normal model.- Chapter 4 Estimation under the normal mixture model for financial time series data.- Chapter 5 Bayesian estimation under the t-distribution for financial time series data.- Chapter 6 Control charts of mean and variance using copula Markov SPC and conditional distribution by copula.- Chapter 7 Copula Markov models for count series with excess zeros.



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Encadernação: Capa Mole / Paperback
Tema: Probability & statistics
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Características

Editora

Springer

Idiomas

Inglês

Data de lançamento

02/07/2020

Peso

236,0

Série/Edição Limitada

1st ed. 2020

EAN

9789811549977

Publicidade
Publicidade