Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Conditional Maximum Lq-Likelihood Estimation for Regression Model with
  Autoregressive Error Terms   In this article, we consider the parameter estimation of regression model
with pth order autoregressive (AR(p)) error term. We use the Maximum
Lq-likelihood (MLq) estimation method that is proposed by Ferrari and Yang
(2010a), as a robust alternative to the classical maximum likelihood (ML)
estimation method to handle the outliers in the data. After exploring the MLq
estimators for the parameters of interest, we provide some asymptotic
properties of the resulting MLq estimators. We give a simulation study and a
real data example to illustrate the performance of the new estimators over the
ML estimators and observe that the MLq estimators have superiority over the ML
estimators when outliers are present in the data.

11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio