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Research ArticleOpen accessEvery word in the titleBayesian Models for Time Series with Covariates, Trend, Seasonality, Autoregression and OutliersPitsanu Tongkhow, Nantachai KantananthaBayesian methods furnish an attractive approach to time series data analysis. This article proposes the forecasting models that can detect trend, seasonality, auto regression and outliers in time series data related to some covariates. Cumulative Weibull distribution functions for trend, dummy variables for seasonality, binary selections for outliers and latent autoregression for autocorrelated time series data are used for the … …Journal of Computer Science, Vol. 9, Issue 3 · 16 Apr 2013 · 6,653 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffect of Seasonal Temperature on the Genotypic Variability of Flowering Duration in Pearl Millet (Pennisetum glaucum) in NigerSani Daouda Ousmane, Mouhamadou Mounkaila Boureima, Maman Nassourou Lawali et al.Heat stress is a major contributor to crop losses worldwide. Millet [Pennisetum glaucum (L.) R. Br.] is a staple crop for inhabitants of arid and semi-arid regions of the world, due to its extraordinary adaptation to drought and high temperatures. Climate change points to an overall increase in temperature, the effect of which on crop growth and productivity remains to … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 30 Nov 2022 · 6,125 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCross-Latitudinal, Seasonal and Diurnal Comparisons in Thyroid Hormone Concentrations in Sled DogsKriya L. Dunlap, Arleigh J. Reynolds, Kent R. Refsal et al.Problem Statement: Hypothyroidism has been a common disorder in humans and dogs. Amongst a sundry of functions, the thyroid gland plays a key role in metabolism and consequently, hypothyroidism has been a common diagnosis for a decrease in performance in sled dogs. Research has indicated that a variety of environmental factors influence thyroid hormone production, of which, light exposure, climate, … …American Journal of Animal and Veterinary Sciences, Vol. 3, Issue 4 · 31 Dec 2008 · 7,184 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSeasonal Variations in Semen Quality of Pasundan Bulls in their Native Tropical EnvironmentNurul Isnaini, Tri Harsi, Anggit Damaratri Lapoliwa et al.The success of artificial insemination highly depends on the semen quality, in which it may significantly associate with the environmental factor. However, the information regarding the seasonal effects on semen quality of Pasundan bulls is still scarce. This study aimed to examine seasonal variation in semen quality of Pasundan bulls in their native environment. A total of 203 ejaculates produced … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 2 · 27 Apr 2021 · 7,931 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSeasonal Variation of Heavy Metal Concentrations in Farm Soils of Sreepur Industrial Area of Gazipur, Bangladesh: Pollution Level AssessmentMd. Billal Hossain, Md. Nurul Islam, Mohammad Shamsul Alam, Md. Zakir HossenA study was conducted to measure the seasonal variation of different heavy metal contents in farm soils of Sreepur Upazila of Gazipur district and to assess their pollution level. Industrial affected and non-affected soil samples were collected from 5 locations in three seasons viz. pre-monsoon (April), monsoon (August), and dry season (January), thus a total of 30 soil samples were … …American Journal of Environmental Sciences, Vol. 16, Issue 4 · 6 Aug 2020 · 7,408 accessesView PDFCite
Case ReportOpen accessEvery word in the titleEvaluation of Seasonal Autoregressive Integrated Moving Average Models for River Flow ForecastingKassahun Birhanu Tadesse, Megersa Olumana Dinka, Tena Alamirew, Semu Ayalew MogesReservoir operation policies cannot be functional in instant decision making without forecasting the future reservoir inflows. For forecasting inflows into reservoirs with only hydrological data is available like Koga irrigation dam, multivariate forecasting models cannot be used to generate accurate river flow information. As a result, an evaluation of univariate Seasonal Autoregressive Integrated Moving Average (SARIMA) models was done for … …American Journal of Environmental Sciences, Vol. 13, Issue 5 · 28 Sep 2017 · 7,885 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSeasonal Autoregressive Integrated Moving Average Model for Precipitation Time SeriesYan Wang, Xinghua Chang, Meng Gao, Xiyong HouPredicting the trend of precipitation is a difficult task in meteorology and environmental sciences. Statistical approaches from time series analysis provide an alternative way for precipitation prediction. The ARIMA model incorporating seasonal characteristics, which is referred to as seasonal ARIMA model was presented. The time series data is the monthly precipitation data in Yantai, China and the period is from … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 20 Feb 2013 · 12,655 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSeasonal ARIMA for Forecasting Air Pollution Index: A Case StudyMuhammad Hisyam Lee, Nur Haizum Abd. Rahman, Suhartono et al.Problem statement: Both developed and developing countries are the major reason that affects the world environment quality. In that case, without limit or warning, this pollution may affect human health, agricultural, forest species and ecosystems. Therefore, the aim of this study was to determine the monthly and seasonal variations of Air Pollution Index (API) at all monitoring stations in Johor. … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 14 Feb 2012 · 10,326 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTime Series Forecasting by using Seasonal Autoregressive Integrated Moving Average: Subset, Multiplicative or Additive ModelSuhartonoProblem statement: Most of Seasonal Autoregressive Integrated Moving Average (SARIMA) models that used for forecasting seasonal time series are multiplicative SARIMA models. These models assume that there is a significant parameter as a result of multiplication between nonseasonal and seasonal parameters without testing by certain statistical test. Moreover, most popular statistical software such as MINITAB and SPSS only has facility … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 29 Jan 2011 · 18,295 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSeasonal Variation of Soil Resistivity and Soil Temperature in Bayelsa StateJohn Tarilanyo Afa, C. M. AnaeleProblem statement: Due to the climatic variation for the year and it's sever harmattan during the month of December to March with the high keraunic level (80-90) in the areas, it was necessary to know the seasonal variation of soil resistivity. The seasonal variation and the nature of soil have considerable influence on electrical characteristics and therefore affect the earthling … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 8,724 accessesView PDFCite