The economics of movies (revisited): A survey of recent literature
J McKenzie - Journal of Economic Surveys, 2023 - Wiley Online Library
Twenty years ago, there were all but a handful of scholarly studies published about the
economics of the motion picture industry. Over the first decade of the new millennium, this …
economics of the motion picture industry. Over the first decade of the new millennium, this …
An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data
Quantile regression allows us to estimate the relationship between covariates and any
quantile of the response variable rather than the mean. Recently, several statistical …
quantile of the response variable rather than the mean. Recently, several statistical …
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: Methodology, evaluation, and case study in SAARC countries
Abstract Machine learning (ML) has proved to be a prominent study field while solving
complex real-world problems. The whole globe has suffered and continues suffering from …
complex real-world problems. The whole globe has suffered and continues suffering from …
A new quantile regression for modeling bounded data under a unit Birnbaum–Saunders distribution with applications in medicine and politics
Quantile regression provides a framework for modeling the relationship between a response
variable and covariates using the quantile function. This work proposes a regression model …
variable and covariates using the quantile function. This work proposes a regression model …
Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data
Abstract The Birnbaum‐Saunders (BS) distribution is a model that frequently appears in the
statistical literature and has proved to be very versatile and efficient across a wide range of …
statistical literature and has proved to be very versatile and efficient across a wide range of …
Log‐symmetric quantile regression models
Regression models based on the log‐symmetric family of distributions are particularly useful
when the response variable is continuous, positive, and asymmetrically distributed. In this …
when the response variable is continuous, positive, and asymmetrically distributed. In this …
Econometric modeling of productivity and technical efficiency in the Chilean manufacturing industry
H de la Fuente-Mella, JLR Fuentes, V Leiva - Computers & industrial …, 2020 - Elsevier
This research presents models for assessing productivity and technical efficiency of the
Chilean manufacturing sector by using a factor analysis as a methodological alternative to …
Chilean manufacturing sector by using a factor analysis as a methodological alternative to …
On a partial least squares regression model for asymmetric data with a chemical application in mining
In chemometrical applications, covariates in regression models are often correlated, causing
a collinearity problem that can be solved by partial least squares (PLS) regression. In …
a collinearity problem that can be solved by partial least squares (PLS) regression. In …
Birnbaum-Saunders quantile regression models with application to spatial data
In the present paper, a novel spatial quantile regression model based on the Birnbaum–
Saunders distribution is formulated. This distribution has been widely studied and applied in …
Saunders distribution is formulated. This distribution has been widely studied and applied in …
Improving productivity in Hollywood with data science: Using emotional arcs of movies to drive product and service innovation in entertainment industries
M Del Vecchio, A Kharlamov, G Parry… - Journal of the …, 2021 - Taylor & Francis
Improving productivity in the entertainment industry is a very challenging task as it heavily
depends on generating attractive content for the consumers. The consumer-centric design …
depends on generating attractive content for the consumers. The consumer-centric design …