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You can add this command to your system initialization scripts as well (on Fedora, tack it to the end of /etc/rc.local), to apply every time your system starts up. However, note that DMA isn t enabled on some drives in combination with certain motherboard chipsets for good reasons, so you do this at your own risk, and you should be aware that this can sometimes lead to system instability. If this tweak does cause instability, you may need to look into acquiring a different motherboard, another PCI hard disk controller, or a new disk drive. Another great way to ramp up disk throughput is to use multiple disks configured in a redundant array of inexpensive/independent/individual (depends on who you ask) disks called a RAID array for short. (RAID arrays were mentioned in 1). Obviously, if you re writing data across multiple disks simultaneously, their collective throughput capabilities can be aggregated (at least to a point there are system limitations after which adding more drives to a RAID array may be detrimental).

TV Format This is specific to the terrestrial or satellite signal feed you receive from your communications provider. For the North American public broadcast region, this is NTSC for standard-definition television or ATSC for high-definition television. VBI Format Enable this only for the closed caption or teletext on-screen display capability. These options are primarily of interest to the hearing impaired. Channel Frequency Table and Time Offset for XMLTV TV and VBI Formats, the Channel Frequency Table, and the Time Offset for XMLTV are all specific to your locale. Because this book is written for a North American audience, we assume you use either National Television System Committee (NTSC) or Advanced Television System Committee (ATSC) formats. NTSC is the format for standard-definition television feeds, whereas the ATSC specification caters to high-definition (16:9 @ 1920 1080) broadcasts. If you display a high-resolution television feed by way of any compatible HDTV card, select ATSC; otherwise, select NTSC.

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that we always begin our own data analyses with the entirely opposite view Along with unicorns and normal distributions (Micceri, 1989), we regard the proportional-hazards assumption as mythical in any set of data until proven otherwise Before adopting a proportional-hazards model, researchers should at least subdivide their sample by substantively important values of critical predictors and inspect the shapes of the sample hazard pro les within these subgroups Arjas (1988), Grambsch and Therneau (2000), Hosmer and Lemeshow (1999), and Willett and Singer (1993) provided methods for exploring the tenability of the proportionality assumption Finally, as we discuss next, researchers can easily adopt a broader analytic approach one that tests the proportionalhazards assumption and ts nonproportional hazard models if they are required.

8GPS stands for geographical positioning system, a satellite navigation system that is extremely accurate. 9Other texts call this reliability. The use of this term should be deprecated because it is ambiguous and

What Types of Predictors Can Be Included in Hazard Models One important advantage of the hazard modeling framework is that it permits the simultaneous study of both timeinvariant and time-varying predictors As be ts their label, time-invariant predictors describe immutable characteristics of individuals; the values of time-varying predictors, in contrast, may uctuate over time When investigating the monthly risk of initiating marijuana use in late adolescence, for example, Yamaguchi and Kandel (1984) examined predictors of both types In the study, 1,325 adolescents were interviewed once in high school and reinterviewed 9 years later at ages 24 to 25 In the follow-up interview, respondents retrospectively reconstructed monthly charts of their drug and life histories.

The researchers examined the effects of truly time-invariant predictors such as race whose values are immutable over time, but other variables such as friends use of marijuana, involvement in delinquent activities, and belief that marijuana use is not harmful were also treated as timeinvariant predictors of the risk of initiation of marijuana use because they were measured on a single occasion during the initial high school interview The researchers also examined the effects of time-varying predictors such as current alcohol use and current cigarette use whose monthly values were obtained during life-history reconstruction at follow-up Using hazard models, the researchers were able to present convincing evidence that the current use of alcohol and cigarettes has strong effects on the initiation of marijuana use among men and women and controlling for selected antecedent behavioral, attitudinal, and environmental factors measured in adolescence, .

3

friends use of marijuana has the strongest positive in uence on initiation of marijuana (p 675) It is interesting to note that when the initiation of.

Figure 5-7