Titlebook: Reliability and Survival Analysis; Md. Rezaul Karim,M. Ataharul Islam Textbook 2019 Springer Nature Singapore Pte Ltd. 2019 Reliability.Su

gingerly

書目名稱Reliability and Survival Analysis影響因子(影響力)




書目名稱Reliability and Survival Analysis影響因子(影響力)學科排名




書目名稱Reliability and Survival Analysis網(wǎng)絡(luò)公開度




書目名稱Reliability and Survival Analysis網(wǎng)絡(luò)公開度學科排名




書目名稱Reliability and Survival Analysis被引頻次




書目名稱Reliability and Survival Analysis被引頻次學科排名




書目名稱Reliability and Survival Analysis年度引用




書目名稱Reliability and Survival Analysis年度引用學科排名




書目名稱Reliability and Survival Analysis讀者反饋




書目名稱Reliability and Survival Analysis讀者反饋學科排名

責難

REP

Some Important Functions and Their Relationships,ns that will be applied in the later chapters. These include probability density function, cumulative density function, reliability or survival function, hazard function, and mean life function. This chapter also derives the interrelationships among these functions.

不來

言行自由

Conjuction

Nonparametric Methods,ed on the empirical distribution function, product-limit estimator of survival function, warranty claims rate, etc. This chapter also deals with the hypothesis tests for comparison of two or more survival/reliability functions. Examples are given to illustrate the methodology.

Semblance

Regression Models,k, or survival of units being studied. This chapter introduces some of the regression models used in both reliability and survival analyses. The regression models include logistic regression, proportional hazards, accelerated failure time, and parametric regression models based on specific probabili

BOON

Basic Concepts of System Reliability,e types, quantities, and reliabilities of its components. This chapter discusses some basic ideas behind the analysis of reliability of a system. It derives the distribution and reliability functions of the lifetime of the system as a function of the distribution or reliability functions of the indi

Countermand

CLEFT

Stochastic Models, is very common in survival analysis that a subject suffering from a disease at a time point will recover at a later time. Similarly, in reliability, a machine may change state from nondefective to defective over time. This chapter discusses the Markov chain model, Markov chain model with covariate