نتایج جستجو برای: response variable

تعداد نتایج: 1210904  

1990
Asit Dan Daniel M. Dias Philip S. Yu

In this paper we examine the effect of skewed access on the buffer hit ratio in a multi-system data sharing environment, where each computing node has access to shared data on disks, and has a local buffer of recently accessed granules. In the literature, the effect of skewness in data access on increased data contention has been examined, since with skew most accesses go to few data items. For...

Journal: :iranian journal of health sciences 0
hamed tabesh ph.d. of biostatistics, department of biostatistics and epidemiology, school of health, ahvaz jundishapur university of medical sciences azadeh saki ph.d. of biostatistics, department of biostatistics and epidemiology, school of health, ahvaz jundishapur university of medical sciences samira mardaniyan msc. student of biostatistics, department of biostatistics and epidemiology, school of health, ahvaz jundishapur university of medical sciences

in many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. regression is the most common tool in this situation. if we have some assumptions for such normality for response variable, we could use it. in this paper we propose a nonparametric regression that does not have normality assumption for response variable and we focus ...

2007
Matthias Schmid Hans Schneeweiss

Microaggregation is one of the most frequently applied statistical disclosure control techniques for continuous data. The basic principle of microaggregation is to group the observations in a data set and to replace them by their corresponding group means. However, while reducing the disclosure risk of data files, the technique also affects the results of statistical analyses. The paper deals w...

2005
Matthias Schmid Hans Schneeweiss

Microaggregation is one of the most frequently applied statistical disclosure control techniques for continuous data. The basic principle of microaggregation is to group the observations in a data set and to replace them by their corresponding group means. However, while reducing the disclosure risk of data files, the technique also affects the results of statistical analyses. The paper deals w...

2017
Tanveer A Tarray

Let Y be the variable under study, a sensitive variable which can’t be observed directly. Let X is a non – sensitive auxiliary variable which is strongly correlated with Y. Let S be a scrambling variable independent of the study variable Y and the auxiliary variable X. The usual additive model used for gathering information on quantitative sensitive variable is due to Himmelfarb & Edgell [3]. T...

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