Copulabased Markov Models For Time Series Parametric Inference And Process Control Springerbriefs In Statistics
Li-Hsien Sun
Resumo
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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...
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...
Copulabased Markov Models For Time Series Parametric...
Resumo
Copulabased Markov Models For Time Series Parametric Inference And Process Control Springerbriefs In Statistics
Nº de Páginas:
Encadernação: Capa Mole / Paperback
Tema: Probability & 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.
Nº de Páginas:
Encadernação: Capa Mole / Paperback
Tema: Probability & statistics
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Características
- Editora
-
Springer
- Idiomas
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Inglês
- Data de lançamento
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02/07/2020
- Peso
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236,0
- Série/Edição Limitada
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1st ed. 2020
- EAN
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9789811549977
Publicidade
Publicidade