Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improved estimators in simple random sampling when study variable is an
  attribute   This article addresses the problem of estimating the population mean in the
presence of auxiliary information when study variable itself is qualitative in
nature. Bias and mean squared error (MSE) expressions of the class of
estimators are derived up to the first order of approximation. The suggested
estimators have been compared with the traditional estimator and several other
estimators considered by Singh (2010). In addition, we support this theoretical
result by an empirical study to show the superiority of the constructed
estimator over others.

1
The categories of this paper are: cs
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga