Univariate Interaction Effects for Group and Time
Anomaly Detection for Univariate Time-Series Data
... In this project, we envisioned to develop a framework for detecting anomaly points in our data set. As the values of data points in different files are not compatible with each other, we scaled them in the similar ...
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An Evaluation of Methods for Combining Univariate Time Series Forecasts
... of time series. Manual forecasting, where an analyst goes through each time series, one at a time, and computes the forecast, is a demanding and time consuming ...the time interval ...
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A Hybrid Fuzzy Time Series Technique for Forecasting Univariate Data
... chosen lengths of intervals (Huarng 2001), Differential Evaluation Algorithm (DEA) was utilized to avoid subjective judgments for determining the interval lengths while discrete weights assigned to fuzzy relation that ...
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Fuzzy clustering of univariate and multivariate time series by genetic multiobjective optimization
... clustering time series ...of time series to ...the time series that are intended to capture their essential ...distinguishing time series from one another at a ...the time series sample ...
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Observing Collaboration in Small Group Interaction
... The BFI-10 is a 10-item scale measuring the OCEAN personality traits and is an abbreviated version of the BFI-44 scale employed in the self-reports; it was designed for contexts in which respondents’ time is ...
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User Interaction in Group Recommender Systems
... systems, group recommender systems are emerging lately with the grow of the new ...systems, group recommenders present a new set of challenges as they involve a group of users with a common ...
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Forecasting Marine Corps enlisted manpower inventory levels with univariate time series models
... population group forecasts. Despite the truncated time series span and the conspicuous effects of the irregular component, the study’s forecasting models are generally ...
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The effects of "phubbing" on social interaction
... phubbing group showed significantly higher positive affect and lower negative affect than participants who either were phubbed part of the time or most of the ...other group differences showed ...
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The effects of "phubbing" on social interaction
... phubbing group showed significantly higher positive affect and lower negative affect than participants who either were phubbed part of the time or most of the ...other group differences showed ...
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Latent Group-Based Interaction Effects in Unreplicated Factorial Experiments.
... Tables 3.2, 3.3, A.26, A.27, and A.28 show some simulation results. Each table has the proportion of BF in various regions of the real line along with the proportion of rejections from Tukey’s one degree of freedom test ...
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Prediction with univariate time series models: The Iberia case
... The time series under study consists of monthly observations of the number of passengers in the Spanish airline IBERIA from January 1985 to October ...The effects on the level of the series of all of these ...
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Univariate Stability Analysis of Genotype×Environment Interaction of Oilseed Rape Seed Yield
... GE interaction were demonstrated (χ 2 = ...GE interaction and the large magnitude GE interaction, cause to the more dissimilar genetic systems, which controlling the physiological processes (Cooper ...
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A COMPARATIVE STUDY OF UNIVARIATE TIME SERIES MODELLING FOR NATURAL RUBBER PRODUCTION IN MALAYSIA
... The integrated autoregressive moving average (ARIMA) models which have become popular in recent times and had been used in various fields like gold analysis (Guha and Bandyopadhyay, 2016), modelling of rice production ...
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Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments
... with univariate bias correction, for example, the question of stationarity (re- garding biases in marginal ...the time sequencing of the climate model variables (Cannon, 2016), which can lead to ...
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A time-domain Green's function for interaction betweenwaterwaves and floating bodies with viscous dissipation effects
... dissipation effects, while, in the existing TGF_V 1 , only the free-surface memory term has viscous dissipation ...dissipation effects play an important role in eliminating the numerical instability ...
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A New Approach to Unit Root Tests in Univariate Time Series Robust to Structural Changes
... An appealing feature in our approach is that ρ − and t − statistics do not use any information on the size and location of structural breaks while the conventional approaches assume the break locations are known or have ...
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UNIVARIATE TIME SERIES FORECASTING
... stationary time series. By looking at Graph 7a it appears that our inflation time series is rather ...our time series has to be differentiated. Graph 7c shows that the time series does not ...
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Univariate Time Series Analysis; ARIMA Models
... • We want to predict y T +k given all information up to time T , i.e.[r] ...
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Chapter 9: Univariate Time Series Analysis
... Autocorrelation: Intuition • Y is highly correlated over time. ΔY does not exhibit this property. • If you knew past values of stock price, you could make a very good estimate of what stock price was this month. ...
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Univariate Time Series Models For Fuel Price
... ETHOD Time series data occur frequently in many real world ...a time series data currently exist the selection of correct statistical model for the ...for time series with seasonal ...this ...
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