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1. Small area inference for binary variables in the National Health Interview Survey.
1. INTRODUCTION The National Health Interview Survey (NHIS) is a multistage, personal interview sample survey conducted annually for the National Center for Health Statistics (NCHS) to provide information about the health and health care utilization of the civilian, noninstitutionalized population
September 1, 1997; Journal of the American Statistical Association

2. Boolean function
...function (logical function) A function in Boolean algebra . The function is written as an expression formed with binary variables (taking the value 0 or 1) combined by the dyadic and monadic operations of Boolean algebra, e.g. f = ( x ∧...
January 1, 2004; A Dictionary of Computing

3. A simple method for generating correlated binary variates.
...needs to generate correlated binary variables for a Monte Carlo study. There...approaches for generating correlated binary variables. Let [p.sub.j] denote the marginal...r.sub.ij]]. The desired binary variables are obtained by setting [Z.sub...
November 1, 1996; The American Statistician

4. Conditional Exceedance Probabilities
...corresponds with the actual forecast probabilities is known as reliability, or calibration. Forecast reliability for binary variables can be measured using the Murphy decomposition of the (half) Brier score, and can be presented graphically using...
February 1, 2007; Monthly Weather Review

5. The capacitated lot sizing problem with overtime decisions and setup times.
...its modifications, an iterative approach omitting binary variables in the model, a Genetic Algori thm approach based...formulation of the model given in Table 1 and the number of binary variables reduce considerably. The proposed model has a wide...
November 1, 2000; IIE Transactions

6. Interest rate risk and equity values of life insurance companies: a GARCH-M model.(generalized autoregressive conditionally heteroskedastic in the mean)
...the mean (GARCH-M) model. We examine three different portfolios (equally weighted, risk-based, and size-based) with binary variables to explicitly account for varying interest rate strategies adopted by the Federal Reserve System. Results based on...
June 1, 2007; Journal of Risk and Insurance

7. Factor analysis in personality research: Some artefacts and their consequences for psychological assessment
...difficulty factors resulting in the analysis of binary variables and problems related to the interpretation of orthogonal...discussed. Key words: exploratory factor analysis, binary variables, oblique factor solution, personality questionnaire...
January 1, 2002; Psychologische Beiträge

8. Misclassification, correlation, and cause of death studies
...apply to two-by-two contingency tables in general. KEY WORDS: CAUSES OF DEATH, MISCLASSIFICATION ERRORS, CORRELATION, BINARY VARIABLES, CONTINGENCY TABLES A recent attempt to establish genetic relationships-heritability-across two generations for primary...
February 1, 2002; Human Biology

9. New Jersey, Florida, New York Inventors Develop Sketch-Based Multi-Query Processing Method
...The method uses join graphs and atomic sketches that are essentially pseudo-random summaries formed using random binary variables." An abstract of the invention, released by the Patent Office, said: "The estimated answer is the product of all...
February 8, 2008; US Fed News Service, Including US State News

10. An introduction to generalized linear models, 3d ed.(Brief article)(Book review)
...estimation (including maximum livelihood estimation and the Poisson regression example), inference, normal linear models, binary variables and logistic regression, nominal and ordinal logistic regression, Poisson regression and log-linear models, survival...
September 1, 2008; SciTech Book News