- 8.7.4 .1: Rewrite the SRN of the WFS example without using inhibitor arcs. Di...
- 8.7.4 .2: Draw the extended reachability graph of the WFS example with imperf...
- 8.7.4 .3: Draw the stochastic Petri net for the WFS example, considering nonp...
- 8.7.4 .4: Extend Example 8.54 to include failure and repair for the trunks. W...
- 8.7.4 .5: For the multiprocessor model of Figure 8.95, assume that the proces...
- 8.7.4 .6: Draw the SRNs for the BTS system availability model and the system ...
- 8.7.4 .7: Return to the example of 2 control channels and 3 voice channels (p...
Solutions for Chapter 8.7.4 : Stochastic Reward Nets
Full solutions for Probability and Statistics with Reliability, Queuing, and Computer Science Applications | 2nd Edition
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average
See Arithmetic mean.
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.
Any test of signiicance based on the chi-square distribution. The most common chi-square tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.
Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.
See Control chart.
An expression sometimes used for nonlinear regression models or polynomial regression models.
Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.
A subset of effects in a fractional factorial design that deine the aliases in the design.
Another name for a probability density function
The amount of variability exhibited by data
A study in which a sample from a population is used to make inference to the population. See Analytic study
Fisher’s least signiicant difference (LSD) method
A series of pair-wise hypothesis tests of treatment means in an experiment to determine which means differ.
Fixed factor (or fixed effect).
In analysis of variance, a factor or effect is considered ixed if all the levels of interest for that factor are included in the experiment. Conclusions are then valid about this set of levels only, although when the factor is quantitative, it is customary to it a model to the data for interpolating between these levels.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .