Longitudinal Data with Serial Correlation
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A01=Richard .H. Jones
advanced statistical inference
ARMA Coefficient
ARMA Process
Author_Richard .H. Jones
Autoregression Coefficient
biostatistical modeling
Category=PBT
Cholesky Factorization
Compound Symmetry
Conditional Expectation
Continuous Time State Space Models
Covariance Matrix
Discrete Time State Space Representation
Em Algorithm
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
graduate level statistical modeling guide
Kalman Filter
Kalman Recursion
Laird Ware Model
Ln Likelihood
Log Insulin
longitudinal research methods
mixed effects models
Multivariate Growth Curve Model
Non-negative Real Part
Nonparametric Wilcoxon Rank Sum Test
Observation Error Standard Deviation
Observational Error Variance
Random Input
State Covariance Matrix
State Vector
stochastic processes
Subject's Random Effects
Subject’s Random Effects
time series analysis
Yule Walker Equation
Product details
- ISBN 9780412406508
- Weight: 600g
- Dimensions: 152 x 229mm
- Publication Date: 01 Feb 1993
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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This monograph is written for students at the graduate level in biostatistics, statistics or other disciplines that collect longitudinal data. It concentrates on the state space approach that provides a convenient way to compute likelihoods using the Kalman filter.
Jones, Richard .H.
