Nonlinear Statistical Models.

نویسندگان
چکیده

منابع مشابه

Nonlinear Statistical Models

Specifically, we discussed estimation of the model parameters, measurements of uncertainty in these estimates and the predicted values, and the use of confidence intervals or significance tests to assess the significance of parameters. Through the matrix formulation, we essentially saw that in linear models (where the model is a linear function of the parameters), the estimates of linear functi...

متن کامل

Moving Objects Tracking Using Statistical Models

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

متن کامل

Spatial-Temporal Nonlinear Filtering Based on Hierarchical Statistical Models

A hierarchical statistical model is made up generically of a data model, a process model, and occasionally a prior model for all the unknown parameters. The process model, known as the state equations in the filtering literature, is where most of the scientist’s physical/chemical/biological knowledge about the problem is used. In the case of a dynamically changing configuration of objects movin...

متن کامل

Statistical Diagnostics for Skew-t-Normal Nonlinear Models

This work develops diagnostics for skew-t-normal nonlinear models which provides an useful extension for ordinary normal regression models when the data set under consideration involves heavy tail and asymmetric outcomes. The case-deletion model (CDM) is considered, and several diagnostic measures are derived and discussed. Furthermore, we discuss score test for homogeneity of the variance in s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Biometrics

سال: 1989

ISSN: 0006-341X

DOI: 10.2307/2531513