M. V. Johns - Concepedia

Author

M. V. Johns

Stanford University

Also Known As

M. V. Johns, M. Vernon Johns, Milton Johns

Publications

978

Citations

H-Index

Concepts

All Affiliations

Stanford University

About

M. V. Johns is an author at Stanford University specializing in engineering, statistics, and statistical inference.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	797
2	Biostatistics	5	5	293
3	Management	3	3	119
4	Medicine	2	2	94
5	Business	1	1	27

M. V. Johns

Publications

953

Citations

H-Index

Page 1

	Year	Citations
Asymptotic Distribution of Linear Combinations of Functions of Order Statistics with Applications to Estimation Herman Chernoff, Joseph L. Gastwirth, M. V. Johns The Annals of Mathematical Statistics Parameter EstimationDensity EstimationEngineeringStatistical InferenceProbability Theory	1967	324
Importance Sampling for Bootstrap Confidence Intervals M. V. Johns Journal of the American Statistical Association Bootstrap ResamplingEstimation StatisticStatistical FoundationSampling TheorySampling (Statistics)	1988	101
Convergence Rates for Empirical Bayes Two-Action Problems II. Continuous Case M. V. Johns, John Van Ryzin The Annals of Mathematical Statistics Convergence Rate ResultsEngineeringBayes OptimalityStatistical InferenceProbability Theory	1972	82
An Exact Asymptotically Efficient Confidence Bound for Reliability in the Case of the Weibull Distribution M. V. Johns, G. J. Lieberman Technometrics ReliabilityReliability AnalysisReliability EngineeringEngineeringReliability Modelling	1966	74
Bayes Acceptance Sampling Procedures for Large Lots Douglas Guthrie, M. V. Johns The Annals of Mathematical Statistics Bayesian StatisticEngineeringInspection SchemeSampling TechniqueSampling Theory	1959	59
Non-Parametric Empirical Bayes Procedures M. V. Johns The Annals of Mathematical Statistics Bayesian StatisticEngineeringUncertainty QuantificationImprecise ProbabilityProbabilistic Reasoning	1957	53
Convergence Rates for Empirical Bayes Two-Action Problems I. Discrete Case M. V. Johns, John Van Ryzin The Annals of Mathematical Statistics EngineeringRare Event EstimationBayesian InferenceDiscrete Probability FunctionUncertainty Quantification	1971	45
Average Renewal Loss Rates M. V. Johns, Rupert G. Miller The Annals of Mathematical Statistics Mathematical ProgrammingDecision ProcessesUtility TheoryEngineeringSoftware Aging	1963	42
AN EMPIRICAL BAYES APPROACH TO NON-PARAMETRIC TWO-WAY CLASSIFICATION, M. V. Johns Data ClassificationClassification MethodEngineeringAutomatic ClassificationData Mining	1959	32
Importance Sampling for Bootstrap Confidence Intervals M. V. Johns Journal of the American Statistical Association	1988	28

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