Titlebook: Strategische Neupositionierung von Unternehmungen; Erkl?rung eines erfo Oliver Reichel-Busch Book 2005 Der/die Herausgeber bzw. der/die Aut

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書目名稱Strategische Neupositionierung von Unternehmungen影響因子(影響力)




書目名稱Strategische Neupositionierung von Unternehmungen影響因子(影響力)學(xué)科排名




書目名稱Strategische Neupositionierung von Unternehmungen網(wǎng)絡(luò)公開度




書目名稱Strategische Neupositionierung von Unternehmungen網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Strategische Neupositionierung von Unternehmungen被引頻次




書目名稱Strategische Neupositionierung von Unternehmungen被引頻次學(xué)科排名




書目名稱Strategische Neupositionierung von Unternehmungen年度引用




書目名稱Strategische Neupositionierung von Unternehmungen年度引用學(xué)科排名




書目名稱Strategische Neupositionierung von Unternehmungen讀者反饋




書目名稱Strategische Neupositionierung von Unternehmungen讀者反饋學(xué)科排名

小畫像

Oliver Reichel-Buschse variable failure rate cases it is of little value to consider the actual failure rate since only Reliability and MTBF are meaningful. In chapter 3 we saw that:.Since the relationship between failure rate and time takes many forms, and depends on the device in question, the integral cannot be eval

哺乳動物

Oliver Reichel-Buschse variable failure rate cases it is of little value to consider the actual failure rate since only Reliability and MTBF are meaningful. In chapter 3 we saw that:.Since the relationship between failure rate and time takes many forms, and depends on the device in question, the integral cannot be eval

門窗的側(cè)柱

BAIL

crete time. Discrete time models of reliability systems are appropriate when the system operates in cycles or the system is monitored at discrete time epochs. On the other hand, discrete failure times arise naturally in several common situations in reliability theory where clock time is not the best

閃光東本

entioned in section 7.5 that failure rate data usually refers to random failures (flat portion of the bathtub). As a result ‘parts count’ reliability predictions involve constant failure rates and the summing of failure rates is permissible. This is not always the case and the exceptions to this pro

Vo2-Max

Oliver Reichel-Busche rate parameter which completely defined the distribution. In the Weibull case the reliability function requires three parameters (., ., .). They do not have a physical meaning as does failure rate and must be treated as merely numbers which allow us to compute reliability and MTBF. In the special

新奇

Oliver Reichel-Busche rate parameter which completely defined the distribution. In the Weibull case the reliability function requires three parameters (., ., .). They do not have a physical meaning as does failure rate and must be treated as merely numbers which allow us to compute reliability and MTBF. In the special

最初

恩惠

of the components based on the discrete multivariate conditional hazard rate is described. This algorithm can be used to simulate the system behavior and can be used for numerical studies as well as for analytic stochastic comparisons. We use this construction to study stochastic comparison of life