Category: 510 (Analysis of data)

Title Cat:App Page
Evaluating Wikipedia as a self-learning resource for statistics: You know they’ll use it 510:T QCAS / 66 / 5-6 / 389
Construction of row-column factorial designs 510:Y QCAS / 66 / 1-2 / 59
Introduction to double robust methods for incomplete data 510:Y QCAS / 65 / 3-4 / 243
Detecting deviating data cells 510:Y QCAS / 65 / 3-4 / 245
Analyzing behavioral big data – Methodological, practical, ethical and moral issues 510:Y QCAS / 63 / 5-6 / 437
Statistical and computational challenges in whole genome prediction and genome-wide association analyses for plant and animal breeding 510:B QCAS / 62 / 1-2 / 77
The conditional in-control performance of self-starting control charts 510:Y QCAS / 62 / 1-2 / 79
Computer experiments with qualitative and quantitative variables: A review and reexamination 510:Y QCAS / 61 / 1-2 / 73
Multiplicative methods for computing D-optimal stratified designs of experiments 510:Y QCAS / 60 / 1-2 / 67
Ratings and rankings: Voodoo or science? 510:Y QCAS / 60 / 1-2 / 69
So many variables, so few observations 510:Y QCAS / 59 / 5-6 / 465
Follow the fundamentals: Four data analysis basics will help you do big data projects the right way 510:Y QCAS / 59 / 5-6 / 469
The effect of aggregating data when monitoring a Poisson process 510:Y QCAS / 59 / 3 / 223
Heart of the matter: Understanding variation and its relationship to quality 510:Y QCAS / 59 / 1-2 / 95
Animation: An R package for creating animations and demonstrating statistical methods 510:Y QCAS / 59 / 1-2 / 97
Systems with multiple data sources: A case study on making statistical tools accessible to engineers 510:Y QCAS / 58 / 4 / 347
Statistical engineering perspective on planetary entry, descent, and landing research 510:Y QCAS / 58 / 3 / 223
Aerospace research through statistical engineering 510:Y QCAS / 58 / 3 / 225
A partially linear regression model for data from an outcome-dependent sampling design 510:Y QCAS / 58 / 1-2 / 75
Missing data in a stochastic Dollo model for binary trait data, and its application to the dating of Proto-Indo-European 510:Z QCAS / 57 / 3 / 233
Mixed signals: Prevent confusion about statistical terms that have multiple meanings 510:Y QCAS / 56 / 5-6 / 491
Karl Pearson’s meta analysis revisited 510:Y QCAS / 55 / 5-6 / 493
Assessment of a binary measurement system in current use 510:Y QCAS / 55 / 5-6 / 495
Monitoring the slopes of linear profiles 510:Y QCAS / 55 / 1-2 / 73
Calculated decisions: An alternative to data transformation is to find a non-normal distribution 510:Y QCAS / 54 / 3 / 235
On estimation of variance in successive sampling 510:Y QCAS / 54 / 1-2 / 75
The reality of residual analysis 510:Y QCAS / 54 / 1-2 / 77
Data conformance testing by digital analysis – A critical review and an approach to more appropriate testing 510:Y QCAS / 53 / 6 / 585
Exploratory data analysis in quality-improvement projects 510:Y QCAS / 53 / 4-5 / 445
Modelling price paths in on-line auctions: smoothing sparse and unevenly sampled curves by using semiparametric mixed models 510:Z QCAS / 53 / 4-5 / 447
Darwinian evolution in parallel universes: A parallel genetic algorithm for variable selection 510:Y QCAS / 52 / 5 / 529
Detecting answer copying when the regular response process follows a known response model 510:Y QCAS / 52 / 5 / 533
On the accuracy of statistical procedures in Microsoft Excel 2003 510:Y QCAS / 52 / 2 / 191
Principal directions of the general Pareto distribution with applications 510:Y QCAS / 52 / 1 / 73
How to lie with bad data 510:Y QCAS / 51 / 3 / 287
The most-cited statistical papers 510:Y QCAS / 51 / 2 / 211
John W. Tukey and data analysis 510:Y QCAS / 49 / 5 / 549
John Tukey and robustness 510:Y QCAS / 49 / 5 / 553
Statistical fraud detection: A review 510:Y QCAS / 49 / 3 / 313
Testing non-nested multivariate effect size models in meta-analysis 510:Y QCAS / 48 / 6 / 655
Deming and the proactive statistician 510:Y QCAS / 48 / 4 / 421
Statistical modeling: The two cultures 510:Y QCAS / 48 / 1 / 81
Three approaches to analyze quality data originating in nonnormal populations 510:Y QCAS / 47 / 1 / 77
Three approaches to analyze quality data originating in non-normal populations 510:Y QCAS / 46 / 5 / 547
Should the median test be retired from general use? 510:Y QCAS / 46 / 4 / 433
Data mining for fun and profit 510:Y QCAS / 46 / 3 / 311
Large data series: Modeling the usual to identify the unusual 510:Y QCAS / 46 / 2 / 189
Managing data quality in a statistical agency 510:Y QCAS / 45 / 6 / 665
A comparison of multiresponse optimization: Sensitivity to parameter selection 510:Y QCAS / 45 / 5 / 545
An application of multivariate analysis in product development in the food industry 510:Y QCAS / 45 / 5 / 549
From association to causation: Some remarks on the history of statistics 510:Y QCAS / 45 / 4 / 439
Effective data collection 510:Y QCAS / 45 / 3 / 317
On the accuracy of statistical procedures in Microsoft Excel 97 510:Y QCAS / 45 / 3 / 319
Measurement: Methods comparisons and linear statistical relationship 510:Y QCAS / 45 / 2 / 197
Some statistical heresies 510:Y QCAS / 45 / 1 / 85