Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Liu-type Negative Binomial Regression: A Comparison of Recent Estimators
  and Applications   This paper introduces a new biased estimator for the negative binomial
regression model that is a generalization of Liu-type estimator proposed for
the linear model in [12]. Since the variance of the maximum likelihood
estimator (MLE) is inflated when there is multicollinearity between the
explanatory variables, a new biased estimator is proposed to solve the problem
and decrease the variance of MLE in order to make stable inferences. Moreover,
we obtain some theoretical comparisons between the new estimator and some
others via matrix mean squared error (MMSE) criterion. Furthermore, a Monte
Carlo simulation study is designed to evaluate performances of the estimators
in the sense of mean squared error. Finally, a real data application is used to
illustrate the benefits of new estimator.

33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org