Linear Models

The system matrices of the local linear models are full parameterized and normalized radial basis functions are used for the weights.

Descriptive statistics and log-linear models were used to identify factors associated with out-of-pocket expenditure on delivery.

The general model called as a inversion singular model is synthesized from the linear models in geodesy inversion.

People used to analyze hospitalization expense with general linear models, but general linear model is built on some hypothesis.

Linear models tend to be most effective in relatively stable situations, but when things start changing, they get us into trouble.

Linear models become less useful when they slip over into defining people in terms of what they should be.

GA are most appropriate for complex non-linear models where location of the global optimum is a difficult task.

Secondly, sequential detection of structural changes is studied in generalized linear models.

Linear models mainly include the factor analysis model and the trend surface model. And nonlinear models include BP neural network model.

Consequently, the paper has deep researches on several areas of compound designs for multi-response linear models.

Wind erosion in every kind of sites in this watershed is predicted with the linear models established.

Concrete unloading and re-loading models consist of linear models, multi-linear models and curve models.

Solve the optimal design problem for prediction of multi-response linear models.

It's especially useful in technical work because, unlike the more linear models, it allows us to take innovation into account.

An algorithm is presented to estimate the PRIs of radar signals with jittered PRIs based on stochastic dynamic-linear models.

Generally speaking, theories about MPCS have a process from linear models to divergent models, and then web models.

The growth of curves of Fujian rabbits(yellow line)of 240 days old were analyzed and fitted with three kinds of non-linear models.

Proof of the uniqueness on the least square estimate for estimation in the linear models

Asymptotic Theory of Quasi-maximum Likelihood Estimator in Generalized Linear Models With Adaptive Designs

Regression Modeling Strategies With Applications to Linear Models, Logistic Regression, and Survival Analysis

Approximation to the distribution of least distances estimate in multivariate linear models by randomly weighted bootstrap

Admissibility of Linear Estimator in Linear Models with Respect to an Incomplete Non-Central Ellipsoidal Restriction

Simultaneous Confidence Intervals with Fixed Length and Probability of Coverage for Estimable Functions in Normal Linear Models

Strong Consistency and Asymptotic Normality of Maximum Likelihood Estimates in Generalized Linear Models

Strong Consistency of the Maximum Likelihood Estimator in Generalized Linear Models

Exact Confidence Intervals for a Variance Ratio in Mixed Linear Models

Nonparametric Variance Function Estimate in Generalized Linear Models

Functional-Coefficient Partially Linear Models for Strong Mixing Dependent Data

Admissible nonhomogeneous quadratic form estimate of error variance in linear models

Testing Linearity for Nonparametric Component of Partially Linear Models

Identification Algorithm with Bounded Influence for Linear Models

The Theory of Admissibility of Parameters Estimation in Linear Models

Semiparametric Estimating Technique for Non-linear Models

Analysis of longitudinal binary data using generalized linear models

A Note on the Optimal Smoothing in Partial Linear Models with Penalized Least Squares Estimator

Combinatorial Forecast of Bayesian Dynamic Linear Models

An Optimal Property on Simultaneous Estimation of General Mixed Linear Models

Three-moduli incremental non-linear models and generalization

Generalized Likelihood Ratio Test in Partially Linear Models

On DA-optimal designs for linear models under correlated observations

Changes in extreme wind speeds in NW Europe simulated by generalized linear models

Variable Selection in Joint Generalized Linear Models

Generalized partially linear models with missing data

On Spectral Decomposition Estimates in Mixed Linear Models

Generalized log-linear Models for Longitudinal Count Data

Multivariate Statistical Modelling Based on Generalized Linear Models

Estimation of linear models with error in response variable

Introduction to linear models and statistical inference

The new transformation form for the linear models

A New Class of Biased Linear Estimators in Deficient-rank Linear Models

Several Methods on Estimation in Linear Models

Linear models with compatibility of stand biomass based on the forest resource inventory data

Choice of Predicting Factors in Linear Models

Optimal Structure of the Covariance Matrix of Errors for F-Tests in Linear Models

Short-Term Load Forecasting Based on Compensated Fuzzy Neural Networks and Linear Models

An Improved Algorithm for the Deinterleaving of Radar Signals Based on Stochastic Dynamic Linear Models

Joint Production in Linear Models