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  • Produktbild: Mathematical and Statistical Models and Methods in Reliability
  • Produktbild: Mathematical and Statistical Models and Methods in Reliability

Mathematical and Statistical Models and Methods in Reliability Applications to Medicine, Finance, and Quality Control

Aus der Reihe Statistics for Industry and Technology

Fr. 192.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.11.2010

Abbildungen

XXVI, 74 illus., schwarz-weiss Illustrationen

Herausgeber

V.V. Rykov + weitere

Verlag

Birkhäuser Boston

Seitenzahl

457

Maße (L/B/H)

26.4/18.6/4.1 cm

Gewicht

1066 g

Auflage

2010 edition

Sprache

Englisch

ISBN

978-0-8176-4970-8

Beschreibung

Portrait

N. BALAKRISHNAN, PhD, is Professor of Mathematics and Statistics at McMaster University in Hamilton, Ontario, Canada.V. B. NEVZOROV, PhD, DS, is Professor of Probability and Statistics at St. Petersburg State University in St. Petersburg, Russia.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.11.2010

Abbildungen

XXVI, 74 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Birkhäuser Boston

Seitenzahl

457

Maße (L/B/H)

26.4/18.6/4.1 cm

Gewicht

1066 g

Auflage

2010 edition

Sprache

Englisch

ISBN

978-0-8176-4970-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Mathematical and Statistical Models and Methods in Reliability
  • Produktbild: Mathematical and Statistical Models and Methods in Reliability
  • Reliability Models, Methods, and Optimization.- Reliability of Semi-Markov Systems with Asymptotic Merging Phase Space.- Nonlinearly Perturbed Stochastic Processes and Systems.- On a Copula for Failure Times of System Elements.- On One Method of Reliability Coefficients Calculation for Objects in Non-Homogeneous Event Flows.- A New Approach to Maintenance Optimization by Modeling Intensity Control.- Longitudinal Latent Markov Processes Observable Through an Invariant Rasch Model.- Dynamics of Dependence Properties for Lifetimes Influenced by Unobservable Environmental Factors.- On Alternative of Choice for a Prophylaxis Problem.- Optimal Incomplete Maintenance for Systems with Discrete Time-to-Failure Distribution.- A Gini-Type Index for Aging/Rejuvenating Objects.- Redundancy Analysis for Multi-state System: Reliability and Financial Assessment.- On the Reliability Modeling of Hierarchical Systems.- Statistical Methods in Reliability.- Parametric Estimation of Redundant System Reliability From Censored Data.- Assessing Accuracy of Statistical Inferences by Resamplings.- Change Point Estimation in Regression Models with Fixed Design.- A Model for Field Failure Prediction Using Dynamic Environmental Data.- Efficient Regression Estimation Under General Censoring and Truncation.- On Generalized Tests of Fit for Multinomial Populations.- Modeling and Scaling of Categorical Data.- Nonparametric Estimation and Testing the Effect of Covariates in Accelerated Life Time Models Under Censoring.- Nonparametric Estimation of Time Trend for Repairable Systems Data.- Confidence Region for Distribution Function from Censored Data.- Empirical Estimate with Uniformly Minimal d-Risk for Bernoulli Trials Success Probability.- Estimation of Archival Lifetime Distribution for Writable Optical Disks from Accelerated Testings.- Applications.- Ages in Reliability and Bio Systems, Interpretations, Control, and Applications.- Shocks in Mixed Populations.- Bayesian Estimation of Degradation Model Defined by a Wiener Process.- Benefits of Threshold Regression: A Case-Study Comparison with Cox Proportional Hazards Regression.- Optimal Stopping and Reselling of European Options.- Bayesian Modeling of Health State Preferences.- Information Measures in Biostatistics and Reliability Engineering.- Reliability Computer Tools.- Software System for Simulation and Research of Probabilistic Regularities and Statistical Data Analysis in Reliability and Quality Control.- Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis.