Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Park factor estimation improvement using pairwise comparison method   Each ballpark has a different size in baseball. It could be easily imagined
that there would be many home runs in a small ballpark. Moreover, the
environment of the ballpark, such as altitude, humidity, air pressure, and wind
strength, affects the trajectory of batted balls.
  Park Factors (PF) are introduced in baseball to quantify the effect of each
ballpark on the results (e.g., home runs). In this paper, I assume that each
plate appearance can be modeled as a match-up between a batter's team and a
pitcher's team plus a ballpark. The effects of each ballpark will be distilled
by using a logistic regression method.
  Numerical verification shows that the proposed method performs better than
conventional PF. The verification is based on the results of more than 1.5
million plate appearances from the 2010 to 2017 Major League Baseball (MLB)
seasons.

11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn