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Exponential Distribution : Theory, Methods and Applications / by K. Balakrishnan.

By: Balakrishnan, K [author.].
Contributor(s): Taylor and Francis.
Material type: materialTypeLabelBookPublisher: Boca Raton, FL : Taylor and Francis, an imprint of Routledge, [2019]Copyright date: ©1996Edition: First edition.Description: 1 online resource (664 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9780203756348 (e-book : PDF).Subject(s): Distribution (Probability theory) | Exponential families (Statistics)Genre/Form: Electronic books.Additional physical formats: Print version: : No titleDDC classification: 519.2/4 Online resources: Click here to view. Also available in print format.
Contents:
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.
Abstract: 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.
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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.

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.

Also available in print format.

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