摘要
本文对网络小说纸质书的出版和销售数据建立了相应的回归分析模型,并应用基于惩罚函数的极大似然估计方法,得到了变量选择、组别选择和参数估计的统计推断结果,为网络小说的出版和营销策略提供了理论依据和有价值的建议。
In this paper,we construct a regression model of publication and sales data on intellectual property( IP) fictions.By using of an approach of maximizing likelihood based on penalty function,we obtain some efficient statistical inference results of variable selections,group selections and parameter estimates,which provides theoretical foundation and instructive suggestions on the publication of IP fictions for publishers.
作者
李胜华
黄云舒
LI Sheng - hua;HUANG Yun - shu(NO. 1 Middle School Affiliated to Central China Normal Univemity,Wuhan Hubei 430223;School of Mathematics and Statistics, Hubei University, Wuhan Hubei 430062, China)
关键词
网络小说
销量
惩罚函数
极大似然
变量选择
IP fiction
amount of sales
penalty function
likelihood
variable selection