B
-
Bivariate Autoregressive Processes
Model Identification step plays an important and difficult part in time series analysis because the other steps of analysis depend on it and its accuracy. This article proposes an exact direct Bayesian technique to identify the order of bivariate autoregressive processes using Jeffreys' vague prior. Using the conditional likelihood function, the proposed technique is based on deriving the exact posterior probability mass function of the model order in a convenient form. Then one may easily eval [Volume 50, Issue 1, 2006, Pages 60-81]
C
-
Change Point
Change-Point Rank Tests with Epidemic Alternative [Volume 50, Issue 2, 2006, Pages 114-135]
-
Characterizations
Order Statistics from Doubly Truncated Gompertz Distribution and its Characterizations [Volume 50, Issue 1, 2006, Pages 22-31]
-
Conditional Likelihood Function
Model Identification step plays an important and difficult part in time series analysis because the other steps of analysis depend on it and its accuracy. This article proposes an exact direct Bayesian technique to identify the order of bivariate autoregressive processes using Jeffreys' vague prior. Using the conditional likelihood function, the proposed technique is based on deriving the exact posterior probability mass function of the model order in a convenient form. Then one may easily eval [Volume 50, Issue 1, 2006, Pages 60-81]
E
-
Epidemic Alternative
Change-Point Rank Tests with Epidemic Alternative [Volume 50, Issue 2, 2006, Pages 114-135]
F
-
Failure Time
The Log-Logistic Regression Model Under Random Censoring [Volume 50, Issue 1, 2006, Pages 32-47]
-
Fit Test
Correlation Goodness-of-Fit Test of Mixture of Two Weibull Distributions [Volume 50, Issue 1, 2006, Pages 48-59]
G
-
Gaussian Processes
Change-Point Rank Tests with Epidemic Alternative [Volume 50, Issue 2, 2006, Pages 114-135]
-
Goodness
Correlation Goodness-of-Fit Test of Mixture of Two Weibull Distributions [Volume 50, Issue 1, 2006, Pages 48-59]
H
-
Homogeneous Poisson Process
An Imperfect Debugging Littlewood Non-homogeneous Poisson Process Model [Volume 50, Issue 2, 2006, Pages 136-153]
J
-
Jeffreys' prior
Model Identification step plays an important and difficult part in time series analysis because the other steps of analysis depend on it and its accuracy. This article proposes an exact direct Bayesian technique to identify the order of bivariate autoregressive processes using Jeffreys' vague prior. Using the conditional likelihood function, the proposed technique is based on deriving the exact posterior probability mass function of the model order in a convenient form. Then one may easily eval [Volume 50, Issue 1, 2006, Pages 60-81]
L
-
Liability Function
The Inverted Linear Exponential Distribution as A Life Time Distribution [Volume 50, Issue 1, 2006, Pages 12-21]
-
Limiting Distribution
Change-Point Rank Tests with Epidemic Alternative [Volume 50, Issue 2, 2006, Pages 114-135]
-
Linear Exponential Distribution
The Inverted Linear Exponential Distribution as A Life Time Distribution [Volume 50, Issue 1, 2006, Pages 12-21]
-
Log Logistic Distribution
The Log-Logistic Regression Model Under Random Censoring [Volume 50, Issue 1, 2006, Pages 32-47]
M
-
Maximum likelihood estimators
Some Useful Matrix Derivatives with Statistical Applications in Econometrics [Volume 50, Issue 1, 2006, Pages 1-11]
-
Mean Residual Life Time
The Inverted Linear Exponential Distribution as A Life Time Distribution [Volume 50, Issue 1, 2006, Pages 12-21]
-
Moments of Order Statistics
Correlation Goodness-of-Fit Test of Mixture of Two Weibull Distributions [Volume 50, Issue 1, 2006, Pages 48-59]
N
-
Non
An Imperfect Debugging Littlewood Non-homogeneous Poisson Process Model [Volume 50, Issue 2, 2006, Pages 136-153]
O
-
Order Restriction
Power of A Score Test in One Way Model Under Order Restriction [Volume 50, Issue 1, 2006, Pages 82-90]
P
-
PAV Algorithm
Power of A Score Test in One Way Model Under Order Restriction [Volume 50, Issue 1, 2006, Pages 82-90]
-
Power of the Test
Power of A Score Test in One Way Model Under Order Restriction [Volume 50, Issue 1, 2006, Pages 82-90]
-
Power of the Test and Monte Carlo Simulation
Correlation Goodness-of-Fit Test of Mixture of Two Weibull Distributions [Volume 50, Issue 1, 2006, Pages 48-59]
-
Probability Mass Function
Model Identification step plays an important and difficult part in time series analysis because the other steps of analysis depend on it and its accuracy. This article proposes an exact direct Bayesian technique to identify the order of bivariate autoregressive processes using Jeffreys' vague prior. Using the conditional likelihood function, the proposed technique is based on deriving the exact posterior probability mass function of the model order in a convenient form. Then one may easily eval [Volume 50, Issue 1, 2006, Pages 60-81]
R
-
Random Censored
The Log-Logistic Regression Model Under Random Censoring [Volume 50, Issue 1, 2006, Pages 32-47]
-
Rank Test
Change-Point Rank Tests with Epidemic Alternative [Volume 50, Issue 2, 2006, Pages 114-135]
-
Re
The Inverted Linear Exponential Distribution as A Life Time Distribution [Volume 50, Issue 1, 2006, Pages 12-21]
-
Regression Mode
The Log-Logistic Regression Model Under Random Censoring [Volume 50, Issue 1, 2006, Pages 32-47]
S
-
Score Test
Power of A Score Test in One Way Model Under Order Restriction [Volume 50, Issue 1, 2006, Pages 82-90]
-
Simple Order Restriction
Power of A Score Test in One Way Model Under Order Restriction [Volume 50, Issue 1, 2006, Pages 82-90]
-
Software reliability
An Imperfect Debugging Littlewood Non-homogeneous Poisson Process Model [Volume 50, Issue 2, 2006, Pages 136-153]
Your query does not match with any item