Глоссарий





Новости переводов

19 апреля, 2024

Translations in furniture production

07 февраля, 2024

Ghostwriting vs. Copywriting

30 января, 2024

Preparing a scientific article for publication in an electronic (online) journal

20 декабря, 2023

Translation and editing of drawings in CAD systems

10 декабря, 2023

About automatic speech recognition

30 ноября, 2023

Translation services for tunneling shields and tunnel construction technologies

22 ноября, 2023

Proofreading of English text



Глоссарии и словари бюро переводов Фларус

Поиск в глоссариях:  

Standard deviation of the slope, sb

Глоссарий по стандартизации, контролю и управлению качеством
    Indicates the dispersion or spread of values for the estimate of the slope in linear regression analysis.




Dispersion, английский
  1. Увеличение ширины импульса сигнала при его распространении по оптоволокну. основной фактор, ограничивающий полосу пропускания многомодового оптоволокна.

  2. Дисперсия.

  3. Эффект расширения световых импульсов во время их передачи по оптическому волокну. дисперсия пропорциональна длине кабеля (см. также хроматическая дисперсия).

  4. Refers to the spread of values observed for a variable. the standard deviation is a measure of dispersion, in contrast to the mean which is a measure of central tendency or location.

  5. The cause of bandwidth limitations in fiber. in multimode systems, modal dispersion is caused by differential optical path lengths known as differential path delay. for singlemode systems, chromatic dispersion is a combination of material dispersion (caused by the line width of the laser source) and waveguide dispersion (caused by the difference in the speed of light in the core and the cladding of the fiber). another type of dispersion is polarization mode dispersion (pmd), which is caused by random vibration, temperature variations, and bending of the fibers known as birefringence

  6. (1) the variation in the refractive index of a medium as a function of wavelength. (2) the property of an optical system which causes the separation of the monochromatic components of radiation.

  7. The dependence of the phase velocity in a medium on the optical frequency or the propagation mode

  8. The stretching of light pulses as they travel in an optical fiber, which increases their duration. the temporal spreading of a light signal in an optical waveguide caused by light signals traveling at different speeds through a fiber either due to modal or chromatic effects.

  9. This occurs when white light is split into separate wave lengths and component colors.

  10. Модовая дисперсия dispersion-compensating fiber волокно с компенсацией дисперсии

  11. Also known as "fire," dispersion refers to the separation of white light into different colors.

  12. Separation of white light into spectral colours, each of which vibrates at a different frequency. also called fire.

  13. Sometimes referred to as fire, dispersion is the break-up of white light into a spectrum of colors.

  14. 1. a system consisting of finely divided particles and the medium in which they are distributed. 2. separation of light into colors by diffraction or refraction. 3. a qualitative estimation of the separation and uniform distribution of fibers in the liquid during the production of a wet-formed nonwoven fabric.

  15. Losses`, pi потери воды при капельном орошении за счет фильтрации за пределы очага увлажнения

  16. The separation of light of different frequencies due to different degrees of refraction

  17. In acoustics, variation of wave phase with frequency.

  18. In acoustics, variation of wave phase with frequency.7


Regression, английский
  1. Statistical technique used to evaluate relationships among variables (22).

  2. Регрессия

  3. 1. a stage where symptoms of a disease are disappearing and the person is getting better 2. (in psychiatry) the process of returning to a mental state which existed when the person was younger

  4. Regression commonly refers to the process of developing an empirical (data-driven) model to predict and/or explain one or more attributes in a database or set of data. it is most frequently associated with the simple linear model (y=mx+b) taught in most introductory statistics courses; the same ideas have been extended in many directions, including classification problems. when the emphasis is on hypothesis testing and simple models, the regression output is typically a few parameters that provide a direct linkage from the input variables to the predicted variables (or classification). in other situations the emphasis is on explaining as much of the variability in the output variables as is "reasonable" from the input variables. in this case, there are a number of "advanced" techniques, such as smoothing splines, decision trees, neural nets, and so forth, for which there are many "free" parameters. the meaning of any one of these parameters can be obscure. many data mining techniques are, at their core, variations on well-known regression techniques. see also: classification, clustering, decision trees, neural nets.

  5. The reappearance of a previously fixed problem.

  6. The statistical process of predicting one or more continuous variables, such as profit or loss, based on other attributes in the dataset.

  7. A mathematical technique used to explain and/or predict. the general form is y = a + bx + u, where y is the variable that we are trying to predict; x is the variable that we are using to predict y, a is the intercept; b is the slope, and u is the regression residual. the a and b are chosen in a way to minimize the squared sum of the residuals. the ability to fit or explain is measured by the r-square.

  8. A seaward retreat of a shoreline, generally expressed as a seaward


Standard deviation of y about the regression line, sy/x, английский
    Also known as standard error about the regression line and standard deviation of the residuals (sres). a statistic calculated as part of linear regression analysis. it is the standard deviation of the differences yi-yi, where yi is the observed value corresponding to xi and yi is the value calculated from the regression equations (yi = a + bxi). this statistic measures the dispersion or spread of the data points about the regression line. in the comparison of methods experiment, its ideal value would be zero. values greater than zero describe the random error between the methods, which is composed of the random error or imprecision from both the test and comparison methods, as well as any matrix interferences that vary from sample to sample.


Standard deviation of the intercept, sa, английский
    Indicates the dispersion or spread of values for the estimate of the y-intercept in linear regression analysis.