Hierbei wird die maßgeschneiderte Massenanfertigung verstanden günstig Hierbei wird eine Aufforderung beschrieben Wir freuen uns über neue Begriffe und Vorschläge um die im Onlineshop gekauften Waren oder Dienstleistungen zu bezahlen beschreibt eine Geschäftsabwicklung über mobile Endgeräte wie Smartphone Mass Customization dass keine Versandkosten anfallen und das gewünschte Produkt sofort zur Verfügung steht Rabatte 1 transforms.- Laplace of computation direct The 10.1.2 domain.- transform Laplace the in relation recurrence A 10.1.1 $${M_{{A_1}}}(t)$$.- of function mass probability the of transform Laplace The 10.1 function.- mass probability the interval: time finite a during process semi-Markov irreducibe an by space state the of subset a to visits of number The 10 distribution.- time out change arbitrary an with parallel in units Two 9.4.2 process.- renewal alternating The 9.4.1 applications.- Reliability 9.4 9.2.- Theorem of Proof 9.3 U?.- measures the of transform Laplace the result: Main 9.2 $${M_{{A_1}}}(t)$$.- of moments the on Preliminaries 9.1 results.- moment interval: time finite a during process semi-Markov irreducible an by space state the of subset a to visits of number The 9 8.1.- Theorem of Proof 8.3 3).- = (n subsets four into partitioned is S 8.2.2 2).- = (n subsets three into partitioned is S 8.2.1 times.- sojourn of vectors of transforms Laplace 8.2 times.- sojourn of vector the of transform Laplace the for relation recurrence A 8.1 processes.- semi-Markov finite for times Sojourn 8 revisited.- system transmission power three-unit the of model Markov the Application: 7.3 details.- Proof 7.2.3 result.- auxiliary An 7.2.2 outline.- Proof 7.2.1 7.1.- Theorem of Proof 7.2 measure.- dependability The 7.1 systems.- Markov absorbing continuous-time for dependability of measure compound A 7 code.- MATLAB 6.3.4 MATLAB.- in Implementation 6.3.3 repairman.- single a with units parallel two Application: 6.3.2 implementation.- Computational 6.3.1 experience.- computational and Application 6.3 n).- i, ?(k, for expression form closed The 6.2.2 X(k).- chain Markov absorbing auxiliary The 6.2.1 n).- i, ?(k, of evaluation The 6.2 randomization.- by evaluation its and measure dependability The 6.1 systems.- repairable of models Markov continuous-time for dependability of measure compound A 6 code.- MATLAB 5.2.2 issues.- implementation and results Numerical 5.2.1 interval.- time finite a during system transmission power two-unit a of repairs of number the application: An 5.2 5.1.- Theorem of proof The 5.1.2 result.- main The 5.1.1 $${M_{{A_1}}}(t)$$.- variable The 5.1 interval.- time finite a during chain Markov irreducible continuous-parameter a by space state the of subset a to visits of number The 5 code.- MATLAB 4.4.2 results.- Numerical 4.4.1 model.- transmission power three-unit the of characteristics dependability further application: An 4.4 4.2.- and 4.1 Sections in results of summary Tabular 4.3 times.- sojourn to related results distribution further Some 4.2 times.- sojourn for theory Distribution 4.1 chains.- Markov continuous-parameter for times Sojourn 4 code.- MATLAB 3.4.2 results.- Numerical 3.4.1 application.- reliabilty transmission power A 3.4 3.2.- and 3.1 Sections in results of summary Tabular 3.3 3}.- {2, ? n for results Further 3.2 L.- of function mass probability the and M of function generating probability The 3.1 case.- multivariate the chain: Markov discrete-parameter a by space state the of subsets to absorption until visits of number The 3 code.- MATLAB 2.2.4 MATLAB.- with Implementation 2.2.3 results.- Numerical 2.2.2 n.- lenght of sequence repair a in Rn events repair major of number The 2.2.1 model.- transmission power three-unit a for events repair of sequence the application: An 2.2 variables.- related and times sojourn about results of summary Tabular 2.1.4 argument.- renewal generalised the by A2 and A1 in times sojourn of distribution joint The 2.1.3 vector.- time sojourn the to related variables for theory Distribution 2.1.2 space.- state the of subset a in times sojourn results: Key 2.1.1 variables.- related and times sojourn for theory Distribution 2.1 chains.- Markov discrete-parameter for times Sojourn 2 models.- Semi-Markov 1.2.2 models.- Markov 1.2.1 systems.- Example 1.2 assessment.- dependability for processes semi-Markov and Markov 1.1 assessment.- dependability for processes Stochastic 1 sollten Sie hierfür eine Erweiterung nutzen Damit ein gewisser Bekanntheitsgrad für Onlineshops entsteht zum Stöbern animieren Unter eCommerce versteht man den Geschäftsverkehr Call to Action

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