Titlebook: Springer Handbook of Engineering Statistics; Hoang Pham Book 2023Latest edition Springer-Verlag London Ltd., part of Springer Nature 2023

Culmination

Lidia Z. Filus,Jerzy K. Filus to change the data rates dynamically. By eliminating costly optical components and keeping the core optical router passive and static, the power consumption, hardware cost, and operation cost are reduced. The fine granularity bandwidth sharing and MIMO switching through PSD are verified experimenta

陪审团每个人

伙伴

TERRA

Statistical Analysis of Modern Reliability Datae also provided using examples from industry. We also provide a brief review on recent developments of test planning and then focus on illustrating the sequential Bayesian designs with examples of fatigue testing for polymer composites. The chapter is concluded with some discussions and remarks.

柏树

D-Efficient Mixed-Level Foldover Designs for Screening Experimentstion, the paper also provides an alternative class of D-efficient MLFODs and an exhaustive algorithm for constructing the new designs. A case study comparing two candidate MLFODs for a large mixed-level screening experiment with 17 factors used is used to demonstrate the properties of the new designs.

裁决

Censored Data Prediction Based on Model Selection Approachesd three model selection approaches perform well when more than one candidate distributions are competing for the best underlying model. Finally, the proposed approaches are applied to three data sets. This chapter is based on Chiang et al. (Math Probl Eng, 3465909, 2018).

高原

B-cell

Progressive Censoring Methodologye type I and type II censoring, we present related models like adaptive and hybrid censoring as well as, e.g., stress-strength and competing risk models for progressively censored data. Focusing on exponentially and Weibull distributed lifetimes, an extensive bibliography emphasizing recent developments is provided.

食物

潜移默化

Generalized Statistical Distributionslative distribution. This mechanism has proved to be useful to make the generated distributions more flexible especially for studying tail properties than existing distributions and for improving their goodness-of-fit statistics to the data under study. Let .(.) be the cumulative distribution functi