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Artículos de revistas sobre el tema "Limite quantique standard"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 18 de febrero de 2022

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1

Thomson, Mary E., Andrew C. Pollock, and Jennifer Murray. "QUANTILE PROBABILITY PREDICTIONS: A DEMONSTRATIVE PERFORMANCE ANALYSIS OF FORECASTS OF US COVID-19 DEATHS." EURASIAN JOURNAL OF BUSINESS AND MANAGEMENT 9, no. 2 (2021): 139–63. http://dx.doi.org/10.15604/ejbm.2021.09.02.004.

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An analytical framework is presented for the evaluation of quantile probability forecasts. It is demonstrated using weekly quantile forecasts of changes in the number of US COVID-19 deaths. Empirical quantiles are derived using the assumption that daily changes in a variable follow a normal distribution with time varying means and standard deviations, which can be assumed constant over short horizons such as one week. These empirical quantiles are used to evaluate quantile forecasts using the Mean Squared Quantile Score (MSQS), which, in turn, is decomposed into sub-components involving bias,

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2

Hajda, Pavel. "Betting Against Stringency Mismatches in Standards and Limits: Monte Carlo Validation of Lognormally Based Quantile Conversions Between Sample Sizes." Proceedings of the Water Environment Federation 2008, no. 10 (2008): 5570–88. http://dx.doi.org/10.2175/193864708788807259.

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3

PAVEL, H. P., and V. N. PERVUSHIN. "REDUCED PHASE SPACE QUANTIZATION OF MASSIVE VECTOR THEORY." International Journal of Modern Physics A 14, no. 14 (1999): 2285–308. http://dx.doi.org/10.1142/s0217751x99001159.

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We quantize massive vector theory in such a way that it has a well-defined massless limit. In contrast to the approach by Stückelberg where ghost fields are introduced to maintain manifest Lorentz covariance, we use reduced phase space quantization with nonlocal dynamical variables which in the massless limit smoothly turn into the photons, and check explicitly that the Poincaré algebra is fulfilled. In contrast to conventional covariant quantization our approach leads to a propagator which has no singularity in the massless limit and is well behaved for large momenta. For massive QED, where t

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4

Vidoni, Michelle L., Belinda M. Reininger, and MinJae Lee. "A Comparison of Mean-Based and Quantile Regression Methods for Analyzing Self-Report Dietary Intake Data." Journal of Probability and Statistics 2019 (March 3, 2019): 1–5. http://dx.doi.org/10.1155/2019/9750538.

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In mean-based approaches to dietary data analysis, it is possible for potentially important associations at the tails of the intake distribution, where inadequacy or excess is greatest, to be obscured due to unobserved heterogeneity. Participants in the upper or lower tails of dietary intake data will potentially have the greatest change in their behavior when presented with a health behavior intervention; thus, alternative statistical methods to modeling these relationships are needed to fully describe the impact of the intervention. Using data from Tu Salud ¡Si Cuenta! (Your Health Matters!)

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5

Khan, Muhammad Waleed, Yasir Muhammad, Muhammad Asif Zahoor Raja, Farman Ullah, Naveed Ishtiaq Chaudhary, and Yigang He. "A New Fractional Particle Swarm Optimization with Entropy Diversity Based Velocity for Reactive Power Planning." Entropy 22, no. 10 (2020): 1112. http://dx.doi.org/10.3390/e22101112.

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Optimal Reactive Power Dispatch (ORPD) is the vital concern of network operators in the planning and management of electrical systems to reduce the real and reactive losses of the transmission and distribution system in order to augment the overall efficiency of the electrical network. The principle objective of the ORPD problem is to explore the best setting of decision variables such as rating of the shunt capacitors, output voltage of the generators and tap setting of the transformers in order to diminish the line loss, and improve the voltage profile index (VPI) and operating cost minimiza

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6

Qian, Weijia, and Howard H. Chang. "Projecting Health Impacts of Future Temperature: A Comparison of Quantile-Mapping Bias-Correction Methods." International Journal of Environmental Research and Public Health 18, no. 4 (2021): 1992. http://dx.doi.org/10.3390/ijerph18041992.

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Health impact assessments of future environmental exposures are routinely conducted to quantify population burdens associated with the changing climate. It is well-recognized that simulations from climate models need to be bias-corrected against observations to estimate future exposures. Quantile mapping (QM) is a technique that has gained popularity in climate science because of its focus on bias-correcting the entire exposure distribution. Even though improved bias-correction at the extreme tails of exposure may be particularly important for estimating health burdens, the application of QM i

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7

McCord, Michael, Martin Haran, Peadar Davis, and John McCord. "Energy performance certificates and house prices: a quantile regression approach." Journal of European Real Estate Research 13, no. 3 (2020): 409–34. http://dx.doi.org/10.1108/jerer-06-2020-0033.

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Purpose A number of studies have investigated the relationship between energy performance certificates (EPCs) and house prices. A majority of studies have tended to model energy performance pricing effects within a traditional hedonic conditional mean estimate model. There has been limited analysis that has accounted for the relationship between EPCs and the effects across the pricing distribution. Moreover, there has been limited research examining the “standard cost improvements EPC score”, or “potential score”. Therefore, this paper aims to quantify and measure the dynamic effects of EPCs o

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8

Majer, David, Tinkara Mastnak, and Matjaž Finšgar. "An Advanced Statistical Approach Using Weighted Linear Regression in Electroanalytical Method Development for Epinephrine, Uric Acid and Ascorbic Acid Determination." Sensors 20, no. 24 (2020): 7056. http://dx.doi.org/10.3390/s20247056.

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In this study, the use of weighted linear regression in the development of electrochemical methods for the determination of epinephrine (EP), ascorbic acid (AA), and uric acid (UA) is presented. The measurements were performed using a glassy carbon electrode and square-wave voltammetry (SWV). All electroanalytical methods were validated by determination of the limit of detection, limit of quantification, linear concentration range, accuracy, and precision. The normal distribution of all data sets was checked using the quantile-quantile plot and Kolmogorov-Smirnov statistical tests. The heteros

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9

Damiani, Mirella, Fabrizio Pompei, and Andrea Ricci. "Performance related pay, productivity and wages in Italy: a quantile regression approach." International Journal of Manpower 37, no. 2 (2016): 344–71. http://dx.doi.org/10.1108/ijm-12-2014-0265.

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Purpose – The purpose of this paper is to analyse the role of performance-related pay (PRP) on productivity and wages of Italian firms. Design/methodology/approach – A unique data set for the Italian economy, obtained from the ISFOL Employer and Employee Surveys (2005, 2007, 2010), is used to estimate the relationship between PRP, labour productivity and wages, also controlling for an ample set of covariates. The authors performed standard quantile regressions (QRs) to investigate heterogeneity in associations of PRP with labour productivity and wages. In a second stage, the endogeneity of PRP

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10

Lee, MinJae, Mohammad H. Rahbar, and Hooshang Talebi. "A nonparametric method for assessment of interactions in a median regression model for analyzing right censored data." Statistical Methods in Medical Research 28, no. 4 (2018): 1170–87. http://dx.doi.org/10.1177/0962280217751518.

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We propose a nonparametric test for interactions when we are concerned with investigation of the simultaneous effects of two or more factors in a median regression model with right censored survival data. Our approach is developed to detect interaction in special situations, when the covariates have a finite number of levels with a limited number of observations in each level, and it allows varying levels of variance and censorship at different levels of the covariates. Through simulation studies, we compare the power of detecting an interaction between the study group variable and a covariate

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11

Leahy, Siobhan, Cian O'Neill, Rhoda Sohun, Clodagh Toomey, and Philip Jakeman. "Generalised equations for the prediction of percentage body fat by anthropometry in adult men and women aged 18–81 years." British Journal of Nutrition 109, no. 4 (2012): 678–85. http://dx.doi.org/10.1017/s0007114512001870.

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Anthropometric data indicate that the human phenotype is changing. Today's adult is greater in stature, body mass and fat mass. Accurate measurement of body composition is necessary to maintain surveillance of obesity within the population and to evaluate associated interventions. The aim of the present study was to construct and validate generalised equations for percentage body fat (%BF) prediction from anthropometry in 1136 adult men and women. Reference values for %BF were obtained using dual-energy X-ray absorptiometry. Skinfold thickness (SF) at ten sites and girth (G) at seven sites wer

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12

BIGAZZI, FRANCESCO, and LUCA LUSANNA. "SPINNING PARTICLES ON SPACELIKE HYPERSURFACES AND THEIR REST FRAME DESCRIPTION." International Journal of Modern Physics A 14, no. 09 (1999): 1429–84. http://dx.doi.org/10.1142/s0217751x99000749.

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A new spinning particle with a definite sign of the energy is defined on spacelike hypersurfaces after a critical discussion of the standard spinning particles. It is the pseudoclassical basis of the positive energy [Formula: see text] [or negative energy [Formula: see text]] part of the [Formula: see text] solutions of the Dirac equation. The study of the isolated system of N such spinning charged particles plus the electromagnetic field leads to their description in the rest frame Wigner-covariant instant form of dynamics on the Wigner hyperplanes orthogonal to the total four-momentum of the

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13

Dutta, Gaurav, Matteo Giboli, Cyril Agut, Paul Williamson, and Gerard T. Schuster. "Least-squares reverse time migration with local Radon-based preconditioning." GEOPHYSICS 82, no. 2 (2017): S75—S84. http://dx.doi.org/10.1190/geo2016-0117.1.

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Least-squares migration (LSM) can produce images with better balanced amplitudes and fewer artifacts than standard migration. The conventional objective function used for LSM minimizes the L2-norm of the data residual between the predicted and the observed data. However, for field-data applications in which the recorded data are noisy and undersampled, the conventional formulation of LSM fails to provide the desired uplift in the quality of the inverted image. We have developed a least-squares reverse time migration (LSRTM) method using local Radon-based preconditioning to overcome the low sig

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14

Spiegelman, Cliff, and Tim J. Gates. "Post Hoc Quantile Test for One-Way Analysis of Variance Using a Double Bootstrap Method." Transportation Research Record: Journal of the Transportation Research Board 1908, no. 1 (2005): 19–25. http://dx.doi.org/10.1177/0361198105190800103.

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Comparing samples from two or more populations is among the most common statistical tasks that engineers and scientists perform. Typically a t-test or one-way or two-way analysis of variance is used to compare the means of different populations. Although these tests are useful for describing differences in means for various populations, they are of limited use for comparison of other population parameters, such as quantiles (i.e., percentiles). Quantile comparisons are useful for examining the changes that occur to portions of the population away from the median. Comparison of speed percentile

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15

Schmelzer, Ilja. "Quantum gravity as a metaphysical problem." Physics & Astronomy International Journal 1, no. 5 (2017): 163–70. http://dx.doi.org/10.15406/paij.2017.01.00029.

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The problem with quantum gravity is usually presented as if it would be difficult to construct even a single quantum theory of relativistic gravity. This is shown to be wrong. A straightforward approach using standard, well-studied methods allows to construct mathematically well-defined quantum theories which give, in a certain classical limit, the Einstein equations of GR: GR may be transformed into a field theory on a fixed background by breaking diffeomorphism symmetry using harmonic coordinates. The resulting field theory may be regularized using standard lattice approximation techniques.

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16

Bertoli, Wesley, Katiane S. Conceição, Marinho G. Andrade, and Francisco Louzada. "A New Regression Model for the Analysis of Overdispersed and Zero-Modified Count Data." Entropy 23, no. 6 (2021): 646. http://dx.doi.org/10.3390/e23060646.

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Count datasets are traditionally analyzed using the ordinary Poisson distribution. However, said model has its applicability limited, as it can be somewhat restrictive to handling specific data structures. In this case, the need arises for obtaining alternative models that accommodate, for example, overdispersion and zero modification (inflation/deflation at the frequency of zeros). In practical terms, these are the most prevalent structures ruling the nature of discrete phenomena nowadays. Hence, this paper’s primary goal was to jointly address these issues by deriving a fixed-effects regress

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17

Rains, Dominik, Xujun Han, Hans Lievens, Carsten Montzka, and Niko E. C. Verhoest. "SMOS brightness temperature assimilation into the Community Land Model." Hydrology and Earth System Sciences 21, no. 11 (2017): 5929–51. http://dx.doi.org/10.5194/hess-21-5929-2017.

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Abstract. SMOS (Soil Moisture and Ocean Salinity mission) brightness temperatures at a single incident angle are assimilated into the Community Land Model (CLM) across Australia to improve soil moisture simulations. Therefore, the data assimilation system DasPy is coupled to the local ensemble transform Kalman filter (LETKF) as well as to the Community Microwave Emission Model (CMEM). Brightness temperature climatologies are precomputed to enable the assimilation of brightness temperature anomalies, making use of 6 years of SMOS data (2010–2015). Mean correlation R with in situ measurements in

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18

De Troch, Rozemien, Rafiq Hamdi, Hans Van de Vyver, Jean-François Geleyn, and Piet Termonia. "Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer Precipitation Climatology in Belgium." Journal of Climate 26, no. 22 (2013): 8895–915. http://dx.doi.org/10.1175/jcli-d-12-00844.1.

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Abstract Daily summer precipitation over Belgium from the Aire Limitée Adaptation Dynamique Développement International (ALADIN) model and a version of the model that has been updated with physical parameterizations, the so-called ALARO-0 model [ALADIN and AROME (Application de la Recherche à l'Opérationnel à Meso-Echelle) combined model, first baseline version released in 1998], are compared with respect to station observations for the period 1961–90. The 40-yr European Centre for Medium-Range Weather Forecasts Re-Analysis (ERA-40) is dynamically downscaled using both models on a horizontal r

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19

Kaur, Inderpreet, Patrick Eriksson, Simon Pfreundschuh, and David Ian Duncan. "Can machine learning correct microwave humidity radiances for the influence of clouds?" Atmospheric Measurement Techniques 14, no. 4 (2021): 2957–79. http://dx.doi.org/10.5194/amt-14-2957-2021.

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Abstract. A methodology based on quantile regression neural networks (QRNNs) is presented that identifies and corrects the cloud impact on microwave humidity sounder radiances at 183 GHz. This approach estimates the posterior distributions of noise-free clear-sky (NFCS) radiances, providing nearly bias-free estimates of clear-sky radiances with a full posterior error distribution. It is first demonstrated by application to a present sensor, the MicroWave Humidity Sounder 2 (MWHS-2); then the applicability to sub-millimetre (sub-mm) sensors is also analysed. The QRNN results improve upon what o

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20

Jung, Sungwon, Kim Seungchan, Molly Gale, Rafael Fonseca, John Carpten, and Bodour Salhia. "DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription." Blood 120, no. 21 (2012): 1285. http://dx.doi.org/10.1182/blood.v120.21.1285.1285.

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Abstract Abstract 1285 Introduction: Recent studies have now demonstrated that both genic and global hypomethylation characterizes the multiple myeloma (MM) epigenome. We previously conducted a study to measure changes in DNA methylation at approximately 1500 CpG (GoldenGate Methylation BeadArray, Illumina) loci in 193 MM samples used in the Multiple Myeloma Research Consortium Genomics Initiative. The purpose of this study was to determine the extent to which DNA methylation changes in MM correlate to changes at the gene expression level. Methods: To evaluate this correlation we performed thr

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21

Minarik, Jiri, Zuzana Hermanova, Jan Hrbek, et al. "Prognostic Value of the Parameters of Myeloma Bone Disease Signaling in Patients with Newly Diagnosed Multiple Myeloma Treated with Proteasome Inhibitors." Blood 128, no. 22 (2016): 5603. http://dx.doi.org/10.1182/blood.v128.22.5603.5603.

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Abstract Aims: The aim of our study was to assess the prognostic potential of parameters reflecting myeloma bone disease (MBD) assessed at the time of multiple myeloma (MM) diagnosis with respect to the extent of the disease, treatment approach and response to treatment. Patients and methods: We assessed prospectively a cohort of 52 patients with newly diagnosed multiple myeloma indicated for treatment initiation. The median age was 68 years (40-88) with M/F ratio 1:1,3. All patients were treated initially using proteasome inhibitor (PI) based regimen - either bortezomib based (N=48) or carfil

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22

Mishra, S., M. K. Choudhary, and A. Datta-Gupta. "A Novel Approach for Reservoir Forecasting Under Uncertainty." SPE Reservoir Evaluation & Engineering 5, no. 01 (2002): 42–48. http://dx.doi.org/10.2118/75353-pa.

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Summary This paper presents a novel approach for developing statistical estimates of uncertainty in reservoir performance from a limited number of simulations. The methodology involves ranking and weighting the full suite of geostatistical models on the basis of a surrogate performance measure, then estimating the mean/variance of the desired performance measure by using a weighted average of simulation results from a few selected realizations. The streamline time-of-flight-based volumetric sweep efficiency is used as the surrogate performance measure to rank geostatistical models, and their w

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23

Jiang, Liang, Xiaobin Liu, Peter C. B. Phillips, and Yichong Zhang. "Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs." Review of Economics and Statistics, August 9, 2021, 1–47. http://dx.doi.org/10.1162/rest_a_01089.

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Abstract This paper examines methods of inference concerning quantile treatment effects (QTEs) in randomized experiments with matched-pairs designs (MPDs). Standard multiplier bootstrap inference fails to capture the negative dependence of observations within each pair and is therefore conservative. Analytical inference involves estimating multiple functional quantities that require several tuning parameters. Instead, this paper proposes two bootstrap methods that can consistently approximate the limit distribution of the original QTE estimator and lessen the burden of tuning parameter choice.

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24

Ditzhaus, Marc, Roland Fried, and Markus Pauly. "QANOVA: quantile-based permutation methods for general factorial designs." TEST, February 24, 2021. http://dx.doi.org/10.1007/s11749-021-00758-y.

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AbstractPopulation means and standard deviations are the most common estimands to quantify effects in factorial layouts. In fact, most statistical procedures in such designs are built toward inferring means or contrasts thereof. For more robust analyses, we consider the population median, the interquartile range (IQR) and more general quantile combinations as estimands in which we formulate null hypotheses and calculate compatible confidence regions. Based upon simultaneous multivariate central limit theorems and corresponding resampling results, we derive asymptotically correct procedures in

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25

Wang, Tianying, Wodan Ling, Anna M. Plantinga, Michael C. Wu, and Xiang Zhan. "Testing microbiome association using integrated quantile regression models." Bioinformatics, September 23, 2021. http://dx.doi.org/10.1093/bioinformatics/btab668.

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Abstract Motivation Most existing microbiome association analyses focus on the association between microbiome and conditional mean of health or disease-related outcomes, and within this vein, vast computational tools and methods have been devised for standard binary or continuous outcomes. However, these methods tend to be limited either when the underlying microbiome-outcome association occurs somewhere other than the mean level, or when distribution of the outcome variable is irregular (e.g., zero-inflated or mixtures) such that conditional outcome mean is less meaningful. We address this ga

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26

Umar, M., J. Kambai, I. B. Mohammed, et al. "Bacteriological Quality Assessment and Antibiogram Profile of Bacteria Associated with Sachet Drinking Water Sold at Zaria, Northern Nigeria." International Journal of Pathogen Research, March 7, 2019, 1–13. http://dx.doi.org/10.9734/ijpr/2019/v2i230067.

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Aims: Bacteriological quality assessment and antibiogram profile of bacteria associated with sachet drinking water was carried out with view to determine the bacterial load and fitness of the water sold in the study area for human consumption. Materials and Methods: Ten samples of different brands were aseptically collected and analyzed using heterotrophic count and most probable number technique. The isolated bacteria were microscopically and biochemically characterized and finally confirmed using Box™ Easygel® E. coli Quantitube™ Test Kit (Micrology Laboratories manufactures, Easygel®,

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27

Nuwamanya, Elly, Robinah Nalwanga, Afra Nuwasiima, et al. "Effectiveness of a mobile phone application to increase access to sexual and reproductive health information, goods, and services among university students in Uganda: a randomized controlled trial." Contraception and Reproductive Medicine 5, no. 1 (2020). http://dx.doi.org/10.1186/s40834-020-00134-5.

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Abstract Background University students are one of the most vulnerable groups to sexual reproductive health [SRH] threats like sexually transmitted infections [STIs], unwanted pregnancies, and unsafe abortions and often have limited access to SRH information, goods, and services. This study assessed the effectiveness of using a mobile phone application (APP) to increase access to SRH information, goods, and services among university students in Uganda. Methods Using data from a double-blinded randomized controlled trial, participants were randomly assigned to both the intervention (APP) and co

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