Results 91 to 100 of about 145,010 (267)
Parasites alter host community structure in a natural experiment
Parasites can alter host communities in complex ways, but empirical data from natural systems are rare. This study decomposes the effects of an invasive parasite on natural communities of fish in Trinidad, revealing the direct, indirect, and context dependence of the invasion on host demographic rates and community structure.
Tomos Potter +5 more
wiley +1 more source
PREVENTING NEGATIVE VALUES WHEN FORECASTING NON-NEGATIVE TIME SERIES VARIABLES [PDF]
Long run time series variables forecasting is of special importance to academics and professionals alike. In this paper, the disadvantage of the “Natural Logarithm” transformation that prevents generating negative values in the forecast horizon is ...
Ali TFAILY
doaj
Decomposition and modeling of signal shapes of single point cardiac monitoring
We introduce a novel method for electronic recording of cardiac signals from a single point at the skin in contrast to classical differential electrocardiography (ECG).
Eyvazi Hesar Milad +4 more
doaj +1 more source
Forecasting Player Behavioral Data and Simulating in-Game Events
Understanding player behavior is fundamental in game data science. Video games evolve as players interact with the game, so being able to foresee player experience would help to ensure a successful game development. In particular, game developers need to
A Natekin +34 more
core +1 more source
ABSTRACT Objectives To assess the effect of an aspirin intervention program on preterm birth (PTB) rates in women identified as high‐risk for preterm preeclampsia in the first‐trimester screening. Design This is a retrospective study evaluating the impact of the intervention program on preterm birth using interrupted time series analysis (ITSA) with an
Monica Minopoli +5 more
wiley +1 more source
TEMPORAL AGGREGATION EFFECTS IN CHOOSING THE OPTIMAL LAG ORDER IN STABLE ARMA MODELS. SOME MONTE CARLO RESULTS. [PDF]
A crucial aspect of empirical research based on ARIMA(p,q) model is the choice of the appropriate lag order. Several criteria have been used in order to identify the appropriate order of a ARIMA(p,q) process.
Dikaios Tserkezos, Maria Nikoloudaki
core
Analysis and Quality Control from ARIMA Modeling [PDF]
In this paper, we use ARIMA modelling to estimate a set of characteristics of a short-term indicator (for example, the index of industrial production), as trends, seasonal variations, cyclical oscillations, unpredictability, deterministic effects (as a ...
Revilla Novella, Pedro +1 more
core +1 more source
Abstract Research summary Crime and violence continue to be problems that plague urban areas across the United States and the globe. One key approach for responding to these problems is “focused deterrence” which includes programs that prevent criminal behavior by blending criminal justice, social service, and community‐based action.
Anthony A. Braga +2 more
wiley +1 more source
Is There Seasonality in Pakistan’s Merchandise Exports and Imports? The Univariate Modelling Approach [PDF]
This paper investigates the existence of seasonal patterns in the quarterly merchandise export and import data of Pakistan from 1982: 1 to 2002: 1.
Sajjad Akhtar
core
Lee Carter mortality forecasting: application to the Italian population [PDF]
In this paper we investigate the feasibility of using the Lee-Carter methodology to construct mortality forecasts for the Italian population. We fit the model to the matrix of Italian death rates for each gender from 1950 to 2000. A time-varying index of
Haberman, S., Russolillo, M.
core

