Statistical Errors
Improving the rainfall rate estimation in the midstream of the Heihe River Basin using raindrop size distribution
... the statistical errors of polarimetric rain rate estimators due to DSD variations, and use polarization radar parameters Z DR andK DP to improve the quantitative estimation of ...
9
The study of heavy quark production in high ET photoproduction at HERA using the ZEUS detector
... atic errors, for th e cross-section as a function of shown in Figures ...resulting errors are shown as th e th in , outer bars on our cross-section values in Figure ...the statistical errors ...
205
Jet photoproduction and photon structure
... 9.1 Two-jet cross section differential in presented in four regions of D ata points are shown with statistical errors (inner bars) and statistical and systematic errors[r] ...
204
Perspectives of thermal photon measurements in heavy ion collisions at NICA
... Transverse momentum distribution of the expected raw yields and corresponding statistical errors for π 0 (left) and η (right) mesons reconstructed using photon conversions assuming stati[r] ...
8
Constraining the temperature–density relation of the intergalactic medium with the Lyman alpha and beta forests
... promising statistical errors on γ appear to be achievable with these spectra, to reach its full potential, the dependence of the curvature ratio on the thermal state of the gas in the foreground Lyman α ...
5
Stochastic locality and master-field simulations of very large lattices
... integration errors on the simulation results are expected to be of order 4 ...the statistical errors of the other quantities considered appear to be larger than the integration ...
16
A little respect: four case studies of HCI’s disregard for other disciplines
... We do not believe major statistical errors, or obvious errors in study methods would propagate through HCI in the same way as our case studies. As reviewers and readers of work, we should consider ...
10
Computation of hybrid static potentials in SU(3) lattice gauge theory
... smaller statistical errors, when using trial states with larger overlaps to the corresponding energy eigenstates of interest, since then effective masses exhibit plateaus at smaller temporal ...
8
A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co occurrence
... A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co occurrence A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Ch[.] ...
5
Investigation on the Effect of Different Parameters in Wheeled Mobile Robot Error (TECHNICAL NOTE)
... 5.2. Determining the Association Between Two Variables (X 2 -TEST) Mean, standard deviation, T-test and many other statistical analysis methods can only be applied to continuous-valued data. In robotic ...
16
The effect of empirical statistical correction of intensity dependent model errors on the temperature climate change signal
... empirical- statistical bias correction methods like quantile mapping (QM) on the temperature change signals of climate simula- ...model errors on the CCS. Such errors cause, if uncorrected, biases in ...
12
Relevance of identification surveys in N.S.W. conveyancing
... titling errors and/or title dimensions which may not be ...found errors or complications that may adversely effect the marketability and/or value of property which should be drawn to the owners/purchasers ...
163
Infant mortality in Brazil attributable to inborn errors of metabolism associated with sudden death: a time-series study (2002–2014)
... Background: The literature suggests that 0.9 to 6% of infants who die unexpectedly may have had a metabolic disorder. At least 43 different inborn errors of metabolism (IEMs) have been associated with sudden death ...
8
Towards space based verification of CO 2emissions from strong localized sources: fossil fuel power plant emissions as seen by a CarbonSat constellation
... time-dependent. Our focus is on estimating systematic errors arising from the sparse temporal sampling as well as random errors that are primarily dependent on wind speeds. We used hourly emissions data ...
14
Simulation Study on the Effects of Ignoring Clustering in Regression Analysis
... Lastly, the study's goal was to find sufficient evidence for clustering effects. Therefore, the p-value for testing the significance of clustering under ANVOCA and the ANOVA test under LME were computed. In order to ...
20
Developing A Heterogeneous Contextual Corpus Rater For Odia Language
... After standard tokenization, each token is passed through the lexical verification process and then inserted into the Lexicon Management System (LMS) which supports automated and manual resolution of unknown tokens. The ...
6
Assessing horizontal accuracy of inventory plots in forests with different mix of tree species composition and development stage
... tested errors along the x and y axes Student’s t-test or Wilcoxon signed rank test were ...applied. Statistical analysis revealed that the systematic error was introduced into errors in case of all ...
8
A survey of statistics in three UK general practice journal
... For all three journals there was a dearth of articles reflect- ing the diagnostic process. Why is this? It has already said that diagnosis is the Achilles Heel of GPs[3]. If it is not to remain this way we must start to ...
8
Observations of the galaxy cluster CIZA J2242.8+5301 with the Sardinia Radio Telescope
... or M > 3. We note that this lower limit is high but still compatible, within the measurement errors, with the Mach number derived both from the X-rays and from the DSA model (see equation 4). It is reasonable ...
19
Is bias correction of regional climate model (RCM) simulations possible for non stationary conditions?
... Abstract. In hydrological climate-change impact studies, re- gional climate models (RCMs) are commonly used to trans- fer large-scale global climate model (GCM) data to smaller scales and to provide more detailed ...
17