Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A family of estimators for estimating the population mean in simple
  random sampling under measurement errors   In this article we have suggested an improved estimator for estimating the
population mean in simple random sampling using auxiliary information under the
presence of measurement errors. The mean square error (MSE) of the proposed
estimator has been derived under large sample approximation. Besides,
considering the minimum case of the MSE equation, the efficient conditions
between the proposed and existing estimators are obtained. These theoretical
findings are supported by a numerical example.

32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys