نتایج جستجو برای: Periodic Trend
تعداد نتایج: 204406 فیلتر نتایج به سال:
the term electronegativity .was introduced by linus pauling, who characterized on the basis ofthermodynamic data from the energies of the single bonds. in present study, the density functional theory(dft) was used to calculate electronegativity of atoms. the base of calculation is similar to pauling andmulliken methods. the results indicate that the largest value of electronegativity for fluori...
OBJECTIVES To evaluate short-term effects of publishing revised lower risk national drinking guidelines on related awareness and knowledge. To examine where drinkers heard about guidelines over the same period. DESIGN Trend analysis of the Alcohol Toolkit Study, a monthly repeat cross-sectional national survey. SETTING England, November 2015 to May 2016. PARTICIPANTS A total of 11 845 adu...
هدف از انجام این پروژه آشکارسازی trend باند آلفا سیگنال الکتروانسفالوگرام با استفاده از پردازش تصویر اسپکتروگرام آن است. به عبارت دیگر تغییرات ایجاد شده در طیف باند آلفا که در طول زمان و به دلیل یک پدیده¬ی فیزیولوژیکی یا شناختی رخ می¬دهد را بتوان با استفاده از پردازش اسپکتروگرام آشکار کرد. در این پروژه خستگی ذهنی به عنوان یک پدیده¬ی شناختی برای ایجاد تغییرات در باند آلفا مورد مطالعه قرار گرفت. ...
Subject review The developmental tendencies of cumulative displacement time series associated with reservoir landslides influenced by large water reservoirs must be effectively predicted. However, traditional methods do not encompass the dynamic response relationships between landslide deformation and its influencing factors. Therefore, a new approach based on the exponential smoothing (ES) and...
Periodic time series analysis refers to the modelling approach where important time series properties depend on the period of the year. The standard approach to time series modelling is to treat a time series as a stochastic process with seasonal fluctuations. In a periodic analysis seasonal variations are modelled using separate yearly time series for each season, which do not possess seasonal...
We show that various systematics related to certain instrumental effects and data reduction anomalies in wide field variability surveys can be efficiently corrected by a Trend Filtering Algorithm (TFA) applied to the photometric time series produced by standard data pipelines. Statistical tests, performed on the database of the HATNet project, show that by the application of this filtering meth...
This dissertation studies the least squares estimator of a trend parameter in a simple linear regression model with multiple changepoints when the changepoint times are known. The error component in the model is allowed to be autocorrelated. The least squares estimator of the trend and the variance of the trend estimator are derived. Consistency and asymptotic normality of the trend estimator a...
Monthly forecasting of electric energy consumption is important for planning the generation and distribution of power utilities. However, the features of this time series are so complex that directly modeling is difficult. Three kinds of relatively simple series can be derived when a discrete wavelet transform is used to extract the raw features, namely, the rising trend, periodic waves, and st...
Background: Reviewing the reproductive health indicators (RHIs) provides the possibility of periodic health system performance evaluation to achieve balanced development. This study aimed to determine the trend of ten reproductive health indicators changes during 2002-2011, and examining their relationship with the Human Development Index (HDI). Methods: In this ecological study the trend of t...
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