Describe non linear model, Advanced Statistics

Assignment Help:

Non linear model: A model which is non-linear in the parameters, for instance are

1904_Non linear model.png 

Some such type of models can be converted into the linear models by linearization (the second equation above, for instance, by taking logarithms throughout). Those which cannot are often referred to as the intrinsically non-linear, though these can often be approximated by the linear equations in some circumstances. Parameters in such type of models usually have to be estimated using an optimization procedure like the Newton-Raphson technique. In such models linear parameters are those for which second partial derivative of the model function with respect to parameter is zero (β1 and β3 in the first example given above); when this is not case (β2 and β4 in the ?rst example above) they are called as non-linear parameters.


Related Discussions:- Describe non linear model

Advanced managerial statistics, The objective of this assignment is to test...

The objective of this assignment is to test your understanding in the learning outcome (LO2) and learning outcome (LO3) and learning outcome (LO4). 1) This is a grouped assignme

January 2015 Take-Home Assignment, 3. a. A researcher in Hong Kong computes...

3. a. A researcher in Hong Kong computes the correlation between the percentage of employee turnover and the local unemployment rate (also expressed as a percentage) over a 20-mont

Decision tree, The graphic representation of the alternatives in a decision...

The graphic representation of the alternatives in a decision making problem which summarizes all the possibilities foreseen by the decision maker. For instance, suppose we are give

Describe law of likelihood, Law of likelihood : Within framework of the sta...

Law of likelihood : Within framework of the statistical model, a particular set of data supports one statistical hypothesis or assumption better than another if the likelihood of t

Solve this, An analyst counted 17 A/B runs and 26 time series observations....

An analyst counted 17 A/B runs and 26 time series observations. Do these results suggest that the data are nonrandom? Explain

Probabilistic matching, Probabilistic matching is a method developed to ma...

Probabilistic matching is a method developed to maximize the accuracy of the linkage decisions based on the level of agreement and disagreement among the identifiers on different

Explain labour force survey, Labour force survey : This survey carried out ...

Labour force survey : This survey carried out in the UK on the quarterly basis since the spring of year 1992. It covers 60 000 households and gives labour force and other detail

Explain lancaster models., Lancaster models : The means of representing the...

Lancaster models : The means of representing the joint distribution of the set of variables in terms of the marginal distributions, supposing all the interactions higher than a par

Regression, what are tests for residual with nonconstant variance in regres...

what are tests for residual with nonconstant variance in regression diagnostic checking?

Determine the probablity, Dr. Stallter has been teaching basic statistics f...

Dr. Stallter has been teaching basic statistics for many years. She knows that 80% of the students will complete the assigned problems. She has also determined that among those who

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd