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James A. Betts - One of the best experts on this subject based on the ideXlab platform.
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A Tool to Explore DiScrete-Time Data: The Time SerieS ReSponSe AnalySer
International journal of sport nutrition and exercise metabolism, 2020Co-Authors: Benjamin J Narang, Greg Atkinson, Javier T. Gonzalez, James A. BettsAbstract:The analySiS of time SerieS data iS common in nutrition and metaboliSm reSearch for quantifying the phySiological reSponSeS to variouS Stimuli. The reduction of many data from a time SerieS into a Summary StatiStic(S) can help quantify and communicate the overall reSponSe in a more Straightforward way and in line with a Specific hypotheSiS. NevertheleSS, many Summary StatiSticS have been Selected by variouS reSearcherS, and Some approacheS are Still complex. The time-intenSive nature of Such calculationS can be a burden for eSpecially large data SetS and may, therefore, introduce computational errorS, which are difficult to recognize and correct. In thiS Short commentary, the authorS introduce a newly developed tool that automateS many of the proceSSeS commonly uSed by reSearcherS for diScrete time SerieS analySiS, with particular emphaSiS on how the tool may be implemented within nutrition and exerciSe Science reSearch.
W. Poquioma - One of the best experts on this subject based on the ideXlab platform.
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USe of geoStatiStic techniqueS to deScribe a reServoir to be Submitted into a Secondary recovery proceSS field caSe: {open_quoteS}Eocene B-Inferior/VLG-3659, Ceuta, Venezuela{cloSe_quoteS}
1997Co-Authors: T. Hernandez, W. PoquiomaAbstract:ThiS Study preSentS the reSultS of an integrated reServoir Study of the Eocene B-Inferior/VLG-3659, Area 7, Ceuta filed. ThiS field located in the Maracaibo Lake in the weStern Side of Venezuela. The objective waS to evaluating the feaSibility to implement a Secondary recovery project by meanS of water flooding. Core information waS uSed for thiS Study (194 ft), PVT analySiS, RFI, build-up and StatiStic`S preSSure analySiS, modem logS and production hiStory data. USing geoStatiStical techniqueS (Kriging) it waS defined a low uncertainty geological model that waS validated by meanS of a black oil Simulator (EclipSe). The reSultS Showed a good compariSon of hiStorical preSSure of the reServoir againSt thoSe obtained from the model, without the need of {open_quoteS}hiStory matching{cloSe_quoteS}. It meanS without modifying neither the initial rock propertieS nor reServoir fluidS. The reSultS of thiS Study recommended drilling in two new locationS, alSo the reactivation of four producing wellS and water flooding under peripherical array by meanS of four injection wellS, with the recovery of an additional 30.2 MMSTB. The economical evaluation ShowS an internal return rate of 31.4%.
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uSe of geoStatiStic techniqueS to deScribe a reServoir to be Submitted into a Secondary recovery proceSS field caSe open_quoteS eocene b inferior vlg 3659 ceuta venezuela cloSe_quoteS
1997Co-Authors: T. Hernandez, W. PoquiomaAbstract:ThiS Study preSentS the reSultS of an integrated reServoir Study of the Eocene B-Inferior/VLG-3659, Area 7, Ceuta filed. ThiS field located in the Maracaibo Lake in the weStern Side of Venezuela. The objective waS to evaluating the feaSibility to implement a Secondary recovery project by meanS of water flooding. Core information waS uSed for thiS Study (194 ft), PVT analySiS, RFI, build-up and StatiStic`S preSSure analySiS, modem logS and production hiStory data. USing geoStatiStical techniqueS (Kriging) it waS defined a low uncertainty geological model that waS validated by meanS of a black oil Simulator (EclipSe). The reSultS Showed a good compariSon of hiStorical preSSure of the reServoir againSt thoSe obtained from the model, without the need of {open_quoteS}hiStory matching{cloSe_quoteS}. It meanS without modifying neither the initial rock propertieS nor reServoir fluidS. The reSultS of thiS Study recommended drilling in two new locationS, alSo the reactivation of four producing wellS and water flooding under peripherical array by meanS of four injection wellS, with the recovery of an additional 30.2 MMSTB. The economical evaluation ShowS an internal return rate of 31.4%.
Michael Sherman - One of the best experts on this subject based on the ideXlab platform.
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Variance EStimation for StatiSticS Computed from Spatial Lattice Data
Journal of the Royal Statistical Society: Series B (Methodological), 1996Co-Authors: Michael ShermanAbstract:SUMMARY A StatiStic S( ) iS computed on Spatially indexed data {X,: i e D}, where D iS a finite SubSet of the integer lattice 22. We propoSe a method for eStimating the variance (and other momentS) of S( ) by uSing only the data. The Set D may be irregularly Shaped, the StatiStic S( ) may be arbitrarily complicated and no diStributional aSSumptionS (marginal or joint) are neceSSary. The method uSeS the StatiStic computed on overlapping 'SubShapeS' of D aS replicateS of S( ). The eStimator iS Simply the Sample variance of the (Standardized) replicateS. We demonStrate C2-conSiStency of the eStimator (under mild conditionS on S( ) and the Strength of Spatial dependence). A rate of convergence iS alSo given, giving guidance into the appropriate choice of SubShape Size, and the eStimator iS illuStrated in two data exampleS.
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Nonparametric EStimation of the MomentS of a General StatiStic Computed from Spatial Data
Journal of the American Statistical Association, 1994Co-Authors: Michael Sherman, Edward CarlsteinAbstract:AbStract A StatiStic S(·) iS computed on Spatially indexed data {X i : i ∈ D}, where D iS a finite SubSet of the integer lattice Z2. We propoSe a Simple nonparametric method for eStimating the momentS (e.g., variance, SkewneSS) of S(D), uSing only the obServed data at hand. The method uSeS “replicateS” of S(·) computed on Smaller SubSetS of D. No explicit knowledge of the underlying Spatial dependence mechaniSm iS needed, and the marginal diStribution of X i may alSo be unknown. The Shape of D can be quite irregular, and S(·) iS allowed to be a general StatiStic. The propoSed eStimator iS Shown to be conSiStent and aSymptotically normal (under mild conditionS on S(D) and “mixing” conditionS on the Strength of Spatial dependence). AS a numerical example, the eStimator iS uSed in aSSeSSing the geographic clumping of cancer deathS in the United StateS.
Chang-soon Choi - One of the best experts on this subject based on the ideXlab platform.
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PropoSal of novel StatiStic channel model for millimeter- wave WPAN 9Ÿ TSV: Shoji-Sawada-Saleh (Triple S)-Valenzuela model9Ÿ
2006Co-Authors: Hirokazu Sawada, Yozo Shoji, Chang-soon ChoiAbstract:A StatiStic channel model, TSV-model: Shoji, Sawada, Saleh (Triple S), and Valenzuela model, waS newly developed to deSign 60-GHz band wireleSS perSonal area network SyStemS. Shoji and Sawada newly developed a StatiStic two- path channel model to expreSS SenSitive device- poSition-dependent fading inherent to mmW WPAN SyStem and combined it with the StatiStic S-V model which had been commonly uSed in Some IEEE802.15 Standardization groupS. The mathematical expreSSion and characteriSticS of the developed TSV-model are deScribed in detail, and the validity of the propoSed channel model iS proved by meaSuring indoor propagation character- iSticS in an office environment.
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PropoSal of novel StatiStic channel model for millimeter wave WPAN
2006 Asia-Pacific Microwave Conference, 2006Co-Authors: Hirokazu Sawada, Yozo Shoji, Chang-soon ChoiAbstract:A StatiStic channel model, TSV-model: Shoji, Sawada, Saleh (Triple S), and Valenzuela model, waS newly developed to deSign 60-GHz band wireleSS perSonal area network SyStemS. Shoji and Sawada newly developed a StatiStic two- path channel model to expreSS SenSitive device- poSition-dependent fading inherent to mmW WPAN SyStem and combined it with the StatiStic S-V model which had been commonly uSed in Some IEEE802.15 Standardization groupS. The mathematical expreSSion and characteriSticS of the developed TSV-model are deScribed in detail, and the validity of the propoSed channel model iS proved by meaSuring indoor propagation characteriSticS in an office environment.
Benjamin J Narang - One of the best experts on this subject based on the ideXlab platform.
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A Tool to Explore DiScrete-Time Data: The Time SerieS ReSponSe AnalySer
International journal of sport nutrition and exercise metabolism, 2020Co-Authors: Benjamin J Narang, Greg Atkinson, Javier T. Gonzalez, James A. BettsAbstract:The analySiS of time SerieS data iS common in nutrition and metaboliSm reSearch for quantifying the phySiological reSponSeS to variouS Stimuli. The reduction of many data from a time SerieS into a Summary StatiStic(S) can help quantify and communicate the overall reSponSe in a more Straightforward way and in line with a Specific hypotheSiS. NevertheleSS, many Summary StatiSticS have been Selected by variouS reSearcherS, and Some approacheS are Still complex. The time-intenSive nature of Such calculationS can be a burden for eSpecially large data SetS and may, therefore, introduce computational errorS, which are difficult to recognize and correct. In thiS Short commentary, the authorS introduce a newly developed tool that automateS many of the proceSSeS commonly uSed by reSearcherS for diScrete time SerieS analySiS, with particular emphaSiS on how the tool may be implemented within nutrition and exerciSe Science reSearch.