Results 11 to 20 of about 3,632 (159)
A New Estimator: Median of the Distribution of the Mean in Robustness
Mathematics, 2023 In some statistical methods, the statistical information is provided in terms of the values used by classical estimators, such as the sample mean and sample variance.
Alfonso García-Pérez
doaj +1 more source
On Robustness for Spatio-Temporal Data
Mathematics, 2022 The spatio-temporal variogram is an important factor in spatio-temporal prediction through kriging, especially in fields such as environmental sustainability or climate change, where spatio-temporal data analysis is based on this concept.
Alfonso García-Pérez
doaj +1 more source
A Simulation Study to Explore Inference about Global Moran's I with Random Spatial Indexes
Geographical Analysis, Volume 55, Issue 4, Page 621-650, October 2023., 2023 Inference procedures for spatial autocorrelation statistics assume that the underlying configurations of spatial units are fixed. However, sometimes this assumption can be disadvantageous, for example, when analyzing social media posts or moving objects.
René Westerholt
wiley +1 more source
Improved inference for a boundary parameter
Canadian Journal of Statistics, Volume 51, Issue 3, Page 780-799, September 2023., 2023 Abstract The limiting distributions of statistics used to test hypotheses about parameters on the boundary of their domains may provide very poor approximations to the finite‐sample behaviour of these statistics, even for very large samples. We review theoretical work on this problem, describe hard and soft boundaries and iceberg estimators, and give ...
Soumaya Elkantassi +3 more
wiley +1 more source
Origin of the Bürgi‐Dunitz Angle
ChemPhysChem, Volume 24, Issue 17, September 1, 2023., 2023 Everybody likes Bürgi‐Dunitz! Quantitative bonding analyses show that the obtuse Bürgi‐Dunitz trajectory is favored over the perpendicular approach of a nucleophile to carbonyl group by each key bonding term: i) electrostatic interactions; ii) Pauli repulsion between nucleophile HOMO and ketone π(C=O); and iii) HOMO(nucleophile)‐π*(C=O) LUMO orbital ...
Humberto A. Rodríguez +2 more
wiley +1 more source
Saddlepoint approximations as smoothers [PDF]
Biometrika, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Davison, A. C., Wang, Suojin
openaire +1 more source
Online deep Bingham network for probabilistic orientation estimation
IET Computer Vision, Volume 17, Issue 6, Page 663-675, September 2023., 2023 In terms of computation overhead of the Bingham normalisation constant and uncertain choice of the loss function, we present an online deep Bingham network to estimate the orientation of objects and give theorems of the chosen loss function. The result shows that our method outperforms the state‐of‐the‐art in orientation accuracy and time efficiency ...
Wenjie Li +6 more
wiley +1 more source
Latent multinomial models for extended batch‐mark data
Biometrics, Volume 79, Issue 3, Page 2732-2742, September 2023., 2023 Abstract Batch marking is common and useful for many capture–recapture studies where individual marks cannot be applied due to various constraints such as timing, cost, or marking difficulty. When batch marks are used, observed data are not individual capture histories but a set of counts including the numbers of individuals first marked, marked ...
Wei Zhang +2 more
wiley +1 more source
Statistics in Medicine, Volume 42, Issue 16, Page 2746-2759, 20 July 2023., 2023 We investigate saddlepoint approximations of tail probabilities of the score test statistic in logistic regression for genome‐wide association studies. The inaccuracy in the normal approximation of the score test statistic increases with increasing imbalance in the response and with decreasing minor allele counts.
Pål V. Johnsen +4 more
wiley +1 more source
Statistics in Medicine, Volume 42, Issue 16, Page 2760-2776, 20 July 2023., 2023 A robust and fast two‐sample test for equal Pearson correlation coefficients (PCCs) is important in solving many biological problems, including, for example, analysis of differential co‐expression. However, few existing methods for this test can achieve robustness against deviation from normal distributions, accuracy under small sample sizes, and ...
Liang He +4 more
wiley +1 more source