Exponential Distribution: Theory, Methods and Applications
Autor K. Balakrishnanen Limba Engleză Paperback – 30 iun 2020
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Specificații
ISBN-13: 9780367448660
ISBN-10: 0367448661
Pagini: 664
Dimensiuni: 178 x 254 x 34 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0367448661
Pagini: 664
Dimensiuni: 178 x 254 x 34 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
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Public țintă
ProfessionalCuprins
Genesis Basic Distributional Results and Properties Order Statistics and Their Properties MLEs under Censoring and Truncation and Inference Linear Estimation under Censoring and Inference Reliability Estimation and Applications Inferences under Two-Sample and Multi-Sample Situations Tolerance Limits and Acceptance Sampling Plans Prediction Problems Bayesian Inference and Applications Conditional Inference and Applications Characterizations Goodness-of-Fit Tests Outliers and Some Related Inferential Issues Extensions to Estimation under Multiple-Outlier Models Selection and Ranking Procedures Record Values Related Distributions and Some Generalizations Mixtures - Models and Applications Bivariate Exponential Distributions Inference for Multivariate Exponential Distributions Optimal Tests in Multivariate Exponential Distributions Accelerated Life Testing with Applications System Reliability and Associated Inference Exponential Regression with Applications Two-Stage and Multi-Stage Estimation Two-Stage and Multi-Stage Tests of Hypotheses Sequential Inference Competing Risks Theory and Identifiability Problems Applications in Survival Analysis Applications in Queueing Theory Exponential Classification and Applications Computer Simulations
Descriere
The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the exponential distribution. Discussions include exponential regression, models and applications of mixtures, and applications to survival analysis.