Statistical Inference for Discrete Time Stochastic Processes - SpringerBriefs in Statistics
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Non-Gaussian ARMA Models

Statistical Inference for Discrete Time Stochastic Processes - SpringerBriefs in Statistics ◽

10.1007/978-81-322-0763-4_3 ◽

2012 ◽

pp. 39-54

Author(s):

M. B. Rajarshi

Keyword(s):

Arma Models ◽

Non Gaussian

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Estimation of Joint Densities and Conditional Expectation

Statistical Inference for Discrete Time Stochastic Processes - SpringerBriefs in Statistics ◽

10.1007/978-81-322-0763-4_5 ◽

2012 ◽

pp. 77-83

Author(s):

M. B. Rajarshi

Keyword(s):

Conditional Expectation

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Markov Chains and Their Extensions

Statistical Inference for Discrete Time Stochastic Processes - SpringerBriefs in Statistics ◽

10.1007/978-81-322-0763-4_2 ◽

2012 ◽

pp. 19-38 ◽

Cited By ~ 2

Author(s):

M. B. Rajarshi

Keyword(s):

Markov Chains

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Estimating Functions

Statistical Inference for Discrete Time Stochastic Processes - SpringerBriefs in Statistics ◽

10.1007/978-81-322-0763-4_4 ◽

2012 ◽

pp. 55-75

Author(s):

M. B. Rajarshi

Keyword(s):

Estimating Functions

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Bootstrap and Other Resampling Procedures

Statistical Inference for Discrete Time Stochastic Processes - SpringerBriefs in Statistics ◽

10.1007/978-81-322-0763-4_6 ◽

2012 ◽

pp. 85-110

Author(s):

M. B. Rajarshi

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CAN Estimators from Dependent Observations

Statistical Inference for Discrete Time Stochastic Processes - SpringerBriefs in Statistics ◽

10.1007/978-81-322-0763-4_1 ◽

2012 ◽

pp. 1-18

Author(s):

M. B. Rajarshi

Keyword(s):

Dependent Observations

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