| ¿µ¹® | standard error | ÇÑ±Û | Ç¥ÁØ¿ÀÂ÷ |
|---|---|---|---|
| ¼³¸í | Åë°è¿ë¾î·Î Ç¥º» Æò±ÕÄ¡ ºÐÆ÷ÀÇ Ç¥ÁØÆíÂ÷¸¦ ³ªÅ¸³»´Â °ÍÀÌ´Ù. Ç¥º» Æò±ÕÄ¡°¡ ¸ðÁý´ÜÀÇ Æò±ÕÄ¡ ÁÖÀ§¿¡ »êÀçÇÏ´Â °ÍÀº Ç¥º» Å©±â¿Í ¸ðÁý´ÜÀÇ Ç¥ÁØÆíÂ÷(¥ò)¿¡ ÀÇÇØ Áö¹èµÈ´Ù. Ç¥ÁØ¿ÀÂ÷(SD)´Â ÀÌ·ÐÀûÀ¸·Î ¥ò/¡îNÀ¸·Î ³ªÅ¸³½´Ù. |
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| FPE | fatal pulmonary embolism; field placement error; final prediction error |
|---|---|
| SE | saline enema; sanitary engineering; side effect; smoke exposure; solid extract; sphenoethmoidal; spi... |
| SEM | sample evaluation method; scanning electron microscopy; secondary enrichment medium; standard error ... |
| DSM | Diagnostic & Statistical Manual |
| ICD | 1) International (statistical) Classification of Diseases, (injuries & causes of death)<... |
| DSM | Diagnostic and Statistical Manual |
|---|---|
| DSM III-R | Diagnostic and Statistical Manual of Mental Disorders Third Edition Revised |
| MSA | Metropolitan Statistical Area |
| SMSA | Standard Metropolitan Statistical Area |
| S.A.S | Statistical Analysis System |
statistical analysis
standard error
| models, statistical | Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. (12 Dec 1998) |
|---|---|
| statistical distributions | The complete summaries of the frequencies of the values or categories of a measurement made on a group of items, a population, or other collection of data. The distribution tells either how many or what proportion of the group was found to have each value (or each range of values) out of all the possible values that the quantitative measure can have. (12 Dec 1998) |
| statistical genetics | The study of the applications of principles of statistics to problems in genetics. (05 Mar 2000) |
| statistical model | A formal representation for a class of processes that allows a means of analyzing results from experimental studies, such as the Poisson model or the general linear model; it need not propose a process literally interpretable in the context of the individual case. (05 Mar 2000) |
| statistical significance | Statistical methods allow an estimate to be made of the probability of the observed degree of association between variables, and from this the statistical significance can be expressed, commonly in terms of the P value. (05 Mar 2000) |
| Neyman-Pearson statistical hypothesis | A formal conjecture about the numerical value of a parameter to be tested exclusively in the light of an immediate set of data without attention to prior knowledge or convictions and ignoring other sets of evidence treated in a similar fashion. The answer is a statement not about whether the hypothesis is true but whether it is an acceptable explanation of the data or should be rejected in favour of another hypothesis. (05 Mar 2000) |
| data interpretation, statistical | Application of statistical procedures to analyze specific observed or assumed facts from a particular study. (12 Dec 1998) |
| Diagnostic and Statistical Manual | An American Psychiatric Association publication which classifies mental illnesses.Currently in its fourth edition (DSM-IV) and first published in 1952, the manual provides health practitioners with a comprehensive system for diagnosing mental illnesses based on specific ideational and behavioural symptoms. The DSM approach supplants older, less rigorous methods of diagnosis, and as such represents a major step forward for the field of psychiatry. It consists of five axes covering clinical syndromes, developmental and personality disorders, physical disorders, severity of psychosocial stressors, and global assessment of functioning. It is used primarily in the U.S.; elsewhere, the World Health Organization's International Classification of Diseases is preferred. (05 Mar 2000) |
| factor analysis, statistical | A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires. (12 Dec 1998) |
| alpha error | The statistical error (said to be of the first kind or type I) made in testing an hypothesis when it is concluded that a result is positive when it really is not. Alpha error is often referred to as a false positive. (12 Dec 1998) |
| beta error | The statistical error (said to be of the second kind or type II) made in testing when it is concluded that something is negative when it really is positive. Beta error is often referred to as a false negative. (12 Dec 1998) |
| residual error | The estimated discrepancy between the actual measured datum and the value for that value computed after a model has been fitted to the set of the data by an estimator. (05 Mar 2000) |
| standard error of difference | A statistical index of the probability that a difference between two sample means is greater than zero. (05 Mar 2000) |
| standard error of the mean | A statistical index of the probability that a given sample mean is representative of the mean of the population from which the sample was drawn. (05 Mar 2000) |
| inborn error of metabolism | A genetic biochemical disorder of a specific enzyme that forms a metabolic block, e.g., phenylketonuria. (05 Mar 2000) |
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