[PDF] Top 20 Resampling from centered data in the two-sample problem
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Resampling from centered data in the two-sample problem
... RESAMPLING FROM CENTERED DATA IN THE TWO-SAMPLE PROBLEMD. Veraverbeke'.[r] ... See full document
29
Statistical Index Of Relative Performance In Two-Sample Problem
... between two sampled populations in a contest for preferential selection as the need ...the two populations as functions of the relative performance ...of two sample data is based mostly ... See full document
11
The Relationship Between Problem Frequency and Problem Severity in Usability Evaluations
... whether problem frequency and problem severity are ...in two ways. First, efforts were made to keep problem frequency estimates separate from the evaluators making problem ... See full document
9
Improving the Identification of Phenotypic Abnormalities and Sexual Dimorphism in Mice When Studying Rare Event Categorical Characteristics
... phenotyping data. Many of these studies focus on rare event categorical data, and functional genomics studies typically study the presence or absence of an abnormal ...small sample size, the rare ... See full document
11
Developing High-Throughput HIV Incidence Assay with Pyrosequencing Platform
... ranged from 37 to 4,150 across 36 patients. The level of resampling, defined as the ratio between these two measures, ranged from ...of resampling levels on the genomic biomarkers, we ... See full document
14
Resampling methods for signals recorded at variable sample time intervals during general anesthesia
... the data are not saved every 10 seconds and additionally, there is a lot of missing data, which is necessary to be ...Another problem appears when the data are saved in the new matrix at a ... See full document
7
Statistical inference for Functional data: two sample Behrens-Fisher problem
... functional data analysis (FDA) has received considerable recent attention in many scientific ...functional data In this paper we construct a two-sample Behrens-Fisher problem when ... See full document
8
Small sample based disease diagnosis model acquisition in medical human centered computing
... labeled data can be ...of data or even no data can be ...training data sets and used a very small number of confocal laser scanning microscopy images of demodico- sis for ...the problem ... See full document
12
Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters
... 121 data sets used in this study were collected from the UCI repository (Lichman, 2013), processed and converted by the authors of Fern´ andez-Delgado et ...The data is derived from the 165 ... See full document
35
Two sample hypothesis testing for functional data
... that two samples of curves observed at discrete grids and with noise have the same underlying ...testing problem in a way that enables the application of traditional non- parametric univariate testing ... See full document
28
A Novel Approach for Waveform Compression
... of data on devices like super computers is not a big issue, but the problem occurs for portable ...suffer from data loss because the amount of data being transferred is more than the ... See full document
7
A Multiplicative Bias Correction for Nonparametric Approach and the Two Sample Problem in Sample Survey
... this problem have been in different ways; one of which involve getting estimates of the two surveys separately and using the inverse of the estimated variances as weights to weigh them together as seen in ... See full document
14
Two Sample Tests for High Dimensional Means with Thresholding and Data Transformation
... the data trans- formation via the estimated precision matrix leads to a very powerful test ...the data trans- formation is quite ...with data transformation can be viewed as a significant improvement ... See full document
45
An approximate analytical approach to resampling averages
... of resampling methods, nor do we intend to give a critical discussion of their ...technical problem when resampling methods are applied to complex statistical Machine Learning models on large ... See full document
22
Simulation from quasi stationary distributions on reducible state spaces
... big data sets, an entirely different motivation from ours in this ...simulate from QSDs and LCDs due to the fact that the absorption event becomes increasingly likely through time but, to be ... See full document
32
A new heterometallic complex: [Mn(H2O)6][Co(dmg)2(N3)2]2·2H2O, where dmg is dimethylglyoximate
... Geometry . All e.s.d.'s (except the e.s.d. in the dihedral angle between two l.s. planes) are estimated using the full covariance matrix. The cell e.s.d.'s are taken into account individually in the estimation of ... See full document
9
Improved Resampling Algorithms Based on Deterministic and Partial Resampling
... In this paper the new resampling algorithm is presented. OPDR is based on PR and PDR, and it carry out more information than PDR. Although SR and OSR perform even better than OPDR, the new algorithm are suitable ... See full document
6
From Participation to Differentiation: A Framework for Re-Designing a Socio-Technical System
... follows. Data on the participants’ knowledge and practice of operating the socio-technical system is collected in situ via interview and observation ...This data is analyzed with fuzzy cognitive mapping by ... See full document
370
A Qualitative Analysis of the Coping Strategies of Substitute Teachers
... of problem-centered coping strategies, this same research does show the use of avoidance-centered coping strategies among substitute ...away from engaging a stressor directly, potentially ... See full document
19
Paraphrasing Questions Using Given and new information
... 1979 Centered Logic: The Role of Entity Centered Sentence Representation in Natural Language Inferencing.. 1979 Cooperative Responses from a Portable Natural Language Data Base Query Sys[r] ... See full document
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