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Data with change in mean

Strengthened Change Point Detection Model for Weak Mean Difference Data

Strengthened Change Point Detection Model for Weak Mean Difference Data

... the change points for weak mean difference ...strengthened change point detection ...weak mean dif- ference increases from |µ 1 − µ 2 | to 2|µ 1 −µ 2 |, which makes the change point ...

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Testing for a change in mean under fractional integration

Testing for a change in mean under fractional integration

... a change in mean, at an unknown point in the sample, in data that are possibly fractionally integrated, and of unknown ...in Mean in the Possible Presence of Long-Range ...

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A robust test for mean change in dependent observations

A robust test for mean change in dependent observations

... [] proposed a robust KPSS test based on the ‘sign’ of the data minus the sample median, which behaves rather well for heavy-tailed series. In this paper, we shall construct a robust test for the mean ...

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Testing for a Change in Mean After Changepoint Detection

Testing for a Change in Mean After Changepoint Detection

... structural change refers to the phenomenon that at certain (unknown) timepoints, the law of the data may change: that is, observations y 1 , ...

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Contrasting responses of mean and extreme snowfall to climate change

Contrasting responses of mean and extreme snowfall to climate change

... 24. Pierce, D. W. & Cayan, D. R. The uneven response of different snow measures to human- induced climate warming. J. Climate 26, 4148–4167 (2013). Acknowledgements Thanks to Martin Singh, Stephan Pfahl, James ...

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What does regulatory change mean for your business?

What does regulatory change mean for your business?

... Personal Property Security Register (PPSR) The introduction of a national PPSR has far reaching, if not well understood, implications for banks. Once the national register is implemented, a legal charge over personal ...

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Argo Data Mean Field Modeling

Argo Data Mean Field Modeling

... the mean field and also 3 to see how well our mean field prediction will be compared to Roemmich-Gilson mean ...more data and empirically this is a pretty decent ...better mean field in ...

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High-dimensional change point detection for mean and location parameters

High-dimensional change point detection for mean and location parameters

... the change point literature, mean change are widely explored using CUSUM statistics [65, 106, 36, 37], least-square type statistics [10, 14], U-statistics [98] and some other kernel based methods ...

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Mean change-point model for aero-engine component faults

Mean change-point model for aero-engine component faults

... maintenance, change-point recognition, oil ...state. Change-point theory [10] has been recently developed to study quantitative changes in nonlinear statistical ...the mean change-point ...

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Robust discrimination between long-range dependence and a change in mean

Robust discrimination between long-range dependence and a change in mean

... Since the pioneering work of Hurst (1951), Mandelbrot and Van Ness (1968) and Man- delbrot and Wallis (1968), the phenomenon of long-range dependence or Hust effect has been observed in many data sets, e.g. in ...

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Robust Methods for Estimating the Mean with Missing Data.

Robust Methods for Estimating the Mean with Missing Data.

... The data consists of asthmatic children from Detroit elementary and middle schools randomized to the intervention or control ...one-year change in asthma symptoms in the control ...the mean ...

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Change point testing for the drift parameters of a periodic mean reversion process

Change point testing for the drift parameters of a periodic mean reversion process

... where ν is the period observed in the data. Under the null hypothesis of no change, this implies periodicity of the mean reversion function, i.e. L(t + ν) = L(t). We assume that we observe the ...

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K-Mean Algo. on Iris Data set_15129145.pdf

K-Mean Algo. on Iris Data set_15129145.pdf

... IV. Compare new centres to old center, If the new centres are the same as the old centres, then the algorithm converges. The clusters and centres computed in step 3 are the final clusters and centres. If they are not the ...

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Uncertainty in hourly mean data from classical magnetometers

Uncertainty in hourly mean data from classical magnetometers

... the ordinates. In this case, the base line values showed only a small variation over the course of the year. If the intensity variometers had small temperature coefficients, the temperature correction could be done by ...

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Mean Survival Time from Right Censored Data

Mean Survival Time from Right Censored Data

... the mean survival time can be obtained as the area under the Kaplan-Meier estimate of the survival ...to change the largest observation to a death time if it is ...the mean survival time in the ...

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Joint Mean and Covariance Modeling of Matrix-Variate Data

Joint Mean and Covariance Modeling of Matrix-Variate Data

... language change within a popula- tion over time, heterogeneity in speech patterns within a population at a particular point in time, and relationships between production and perception of ...measures data, ...

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TIME SERIES ANALYSIS OF MEAN TEMPERATURE DATA IN TURKEY

TIME SERIES ANALYSIS OF MEAN TEMPERATURE DATA IN TURKEY

... Climate Change is not ...climate change due to all types of activities (natural and man-made activities) will depend on the ultimate concentrations of greenhouse gases and aerosols (particles) and their ...

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Mean Sea Level and Mean Dynamic Topography Determination From Cryosat-2 Data Around Australia

Mean Sea Level and Mean Dynamic Topography Determination From Cryosat-2 Data Around Australia

... volume change and contribution to sea level ...The mean Ka/Ku crossover elevation difference is ...elevation change over Greenland has also been computed using a plane fit method and reveals a very ...

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What does climate change mean to you?

What does climate change mean to you?

... climate change mean to you? Climate ...that mean to you and your life, and the lives of those around you? Prior to 2001 the concept of climate change didn't enter my thoughts, let alone ...

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was 11.9 ± 3.1% (mean ± SD) for both groups. The mean change (means ± SD) in HbA 1C

was 11.9 ± 3.1% (mean ± SD) for both groups. The mean change (means ± SD) in HbA 1C

... Riddle et al compared the addition of either insulin glargine or NPH insulin with existing regimens of one or two oral antidiabetic agents. This 24-week, randomized trial enrolled 756 patients. Although both basal ...

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