نتایج جستجو برای: kendall and senâs estimator methods on four seasonal time series
تعداد نتایج: 18768909 فیلتر نتایج به سال:
Temperature is an element of climate that it has changed during the time and affected other parameters with changing itself. So we can account it in category of the most affect of the climate parameter. The purpose of this study was analyzed trend of annual and seasonal maximum temperature during the past decades in the Daryache-e-Namak basin. So, the data of 14 Climatology stations that locate...
Count time series are widely encountered in practice. As with continuous valued data, many count have seasonal properties. This paper uses a recent advance stationary to develop general modeling paradigm. The model constructed here permits any marginal distribution for the and most flexible autocorrelations possible, including those negative dependence. Likelihood methods of inference explored....
today, information technology and computers are indispensable tools of any profession and translation technologies have become an indispensable part of translator’s workstation. with the increasing demands for high productivity and speed as well as consistency and with the rise of new demands for translation and localization, it is necessary for translators to be familiar with market demands an...
abstract this mixed method study examines whether there is any relationship among the variables of the study (job satisfaction, social capital and motivation). the researcher considered job satisfaction and social capital as independent variables; motivation is the dependent variable of the study. the researcher applied a questionnaire to assess each variable. to measure efl teachers’ job sati...
Streamflow is an important factor in the study of water resource management, floods, and droughts. Dramatic climate change has created extreme rainfall distributions, making the study of streamflow trends and variability even more crucial. In this study, the long-term streamflow data and trends recorded at gauging stations in Northern Taiwan are analyzed using the Mann-Kendall test. The data us...
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
esl/efl books play a crucial role in shaping language learners worldview of gender roles in society. the present study investigated the status of sexism in two sets of efl textbooks, one developed by non-native iranian authors (ili series) and the other by native authors (top notch series). first, two books from each series was selected randomly. then, a quantitative analysis was carried out wi...
Introduction: Different regions have various dust production; and the increase of dust storms illustrates the arid ecosystem dominance in each region. Analyzing and identifying of dust storms and its association with climatic parameters is one of the crucial approaches to reduce the caused damage of this phenomenon. Since besides determining the portion of each climate variables in intensifying...
Several time-variant fuzzy time series models have been developed during the last decade. These models usually focus on forecasting stationary of trend time series, but they are not suitable for forecasting seasonal time series. Furthermore, several factors that affect the forecasting accuracy are not carefully examined, such as interval length, interval number, and level of window base. Aiming...
clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...
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