Computing standard deviations: accuracy
Communications of the ACM
Stably updating mean and standard deviation of data
Communications of the ACM
Remark on stably updating mean and standard deviation of data
Communications of the ACM
Computational efficiency evaluation in output analysis
Proceedings of the 29th conference on Winter simulation
Computing standard deviations: accuracy
Communications of the ACM
Micro-SIMPAS: A microprocessor based simulation language
ANSS '81 Proceedings of the 14th annual symposium on Simulation
A tutorial on simulation programming with SIMPAS
WSC '81 Proceedings of the 13th conference on Winter simulation - Volume 2
A simulation course for computer science students
SIGCSE '80 Proceedings of the eleventh SIGCSE technical symposium on Computer science education
SIMPAS: A simulation language based on PASCAL
WSC '80 Proceedings of the 12th conference on Winter simulation
Statistics for computer scientists
ACM SIGCSE Bulletin
The singular value decomposition in multivariate statistics
ACM SIGNUM Newsletter
VLDB '80 Proceedings of the sixth international conference on Very Large Data Bases - Volume 6
Development of a simulation model of colorectal cancer
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Estimating the number of users behind ip addresses for combating abusive traffic
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning very fast decision tree from uncertain data streams with positive and unlabeled samples
Information Sciences: an International Journal
Transparent neural networks: integrating concept formation and reasoning
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
| Hi-index | 48.23 |
A method of improved efficiency is given for updating the mean and variance of weighted sampled data when an additional data value is included in the set. Evidence is presented that the method is stable and at least as accurate as the best existing updating method.