Raihan, Asif Begum, Rawshan Ara Nizam, Mohd Said, Mohd Pereira, Joy Jacqueline
Published in
Environmental and Ecological Statistics
This study empirically investigates the nexus among energy use, agricultural land expansion, deforestation, and carbon dioxide (CO2) emissions in Malaysia. Time series data from 1990 to 2019 were utilized using the bounds testing (ARDL) approach followed by the Dynamic Ordinary Least Squares (DOLS) method. The DOLS estimate findings show that the e...
Shimatani, Ichiro Ken Shimizu, Kunio
Published in
Environmental and Ecological Statistics
Bhattacharjee, Natalia V. Ranjan, Pritam Mandal, Abhyuday Tollner, Ernest W.
Published in
Environmental and Ecological Statistics
Calibration of hydrological time-series models is a challenging task since these models give a wide spectrum of output series and calibration procedures require significant amount of time. From a statistical standpoint, this model parameter estimation problem simplifies to finding an inverse solution of a computer model that generates pre-specified...
Ropero, Rosa F. Rumí, Rafael Aguilera, Pedro A.
Published in
Environmental and Ecological Statistics
In Mediterranean areas, the co-evolution between social and natural systems has given rise to heterogeneous and complex systems of interactions called agroecosystems, in which strong relationships between socioeconomy, landscape and water flows have been identified. In this context, water resources management is a prominent area of research, partic...
Shrestha, Sama Elderd, Bret D. Dukic, Vanja
Published in
Environmental and Ecological Statistics
The standard approach to modeling survival times, or more generally, time to event data, is often based on parametric assumptions that may not fit the data collected well. One of the goals of this article is to discuss and compare several commonly used parametric and non-parametric, as well as a Bayesian semi-parametric method for survival data. We...
dos Santos, Thiago Rezende
Published in
Environmental and Ecological Statistics
Several models have been proposed to describe the population dynamics of Aedes aegypti. Intuitive interpretation of model parameters and simplicity are some of the main characteristics of mechanistic models. Another possibility is the use of statistical models, which have their advantages but are not easy to interpret. The state-space model (SSM), ...
Erciulescu, Andreea L. Cruze, Nathan B. Nandram, Balgobin
Published in
Environmental and Ecological Statistics
The publication of official statistics at different levels of aggregation requires a benchmarking step. Difficulties arise when a benchmarking method needs to be applied to a triplet of related estimates, at multiple stages of aggregation. For ratios of totals, external benchmarking constraints for the triplet (numerator, denominator, ratio) are th...
Huggins, Richard Hwang, Wen-Han Stoklosa, Jakub
Published in
Environmental and Ecological Statistics
A presence–absence map consists of indicators of the occurrence or nonoccurrence of a given species in each cell over a grid, without counting the number of individuals in a cell once it is known it is occupied. They are commonly used to estimate the distribution of a species, but our interest is in using these data to estimate the abundance of the...
Núñez-Antonio, Gabriel Mendoza, Manuel Contreras-Cristán, Alberto Gutiérrez-Peña, Eduardo Mendoza, Eduardo
Published in
Environmental and Ecological Statistics
The study of the interaction among species is an active area of research in Ecology. In particular, it is of interest to evaluate the overlap of their ecological niches. Temporal activity is one of the niche’s axes most commonly used to explore ecological segregation among animal species, and many contributions focus on the overlap of this variable...
Sarnaglia, Alessandro José Queiroz Monroy, Nátaly Adriana Jiménez da Vitória, Arthur Gomes
Published in
Environmental and Ecological Statistics
This paper considers the modeling and forecasting of daily maximum hourly ozone concentrations in Laranjeiras, Serra, Brazil, through dynamic regression models. In order to take into account the natural skewness and heavy-tailness of the data, a linear regression model with autoregressive errors and innovations following a member of the family of s...
