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

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Glossary of Statistical Terms
  1. Statistics, third edition, by freedman, pisani, and purves, published by w.w. norton, 1997.

  2. Flight proof plan

  3. From present position

  4. Fossil power plant

  5. Flight plan processing


Flight proof plan, английский
    План летных испытаний


From present position, английский
    От текущего места ла




Statistics, английский
  1. A branch of mathematics that deals with collecting, reviewing, summarizing, and interpreting data or information. statistics are used to determine whether differences between study groups are meaningful.

  2. Статистика (термин, употребляемый в различных значениях, в практической и научной областях. во-первых, статистика понимается как отрасль практической деятельности, направленной на собирание, обработку, анализ и публикацию массовых данных об общественных явлениях, синоним термина в этом смысле слова — понятие статистического учета; во- вторых, статистика рассматривается как отрасль знания, т. е. специальная научная дисциплина, — статистическая наука — и соответственно этому как учебная дисциплина в высших и средних специальных учебных заведениях; в-третьих, под статистикой пони ¦ мают совокупность сводных итоговых цифровых показателей, собранных для характеристики какой-либо области обществ, явлений или отдельного вопроса, например, статистика рождаемости в ссср в послевоенные годы)

  3. Official figures which show facts  population statistics show that the birth rate is slowing down.

  4. Статистика

  5. N статистика linguistic ~ лингвистическая статистика stative a стативный, статичный, относящийся к состоянию чего-л. verb

  6. Статистика. классификация и интерпретация данных клинического исследования в соответствии с теорией вероятности и проверка гипотез применительно к таким данным.


Processing, английский
  1. Обработка (напр. данных); технология

  2. N обработка cognitive ~ когнитивная обработка language ~ когн.

  3. Обработка ~ of materials обработка [переработка] материалов

  4. A language originally designed for artists to allow them to do simple graphical design programs in a movie like paradigm.

  5. The preparation or packaging of fish to render it suitable for human consumption, retail sale, industrial use, or long-term storage, including but not limited to cooking, canning, smoking, salting, drying, filleting, freezing, or rendering into meal or oil, but not heading and gutting unless additional preparation is done.

  6. Under the gdpr, “processing” is any operation that is performed on personal data. this includes collection, recording, organisation, structuring, storage, adaptation, alteration, dissemination, erasure or destruction.


Student`s t curve, английский
    Student`s t curve is a family of curves indexed by a parameter called the degrees of freedom, which can take the values 1, 2, … student`s t curve is used to approximate some probability histograms. consider a population of numbers that are nearly normally distributed and have population mean is μ. consider drawing a random sample of size n with replacement from the population, and computing the sample mean m and the sample standard deviation s. define the random variable


Hypothesis testing, английский
  1. Statistical hypothesis testing is formalized as making a decision between rejecting or not rejecting a null hypothesis, on the basis of a set of observations. two types of errors can result from any decision rule (test): rejecting the null hypothesis when it is true (a type i error), and failing to reject the null hypothesis when it is false (a type ii error). for any hypothesis, it is possible to develop many different decision rules (tests). typically, one specifies ahead of time the chance of a type i error one is willing to allow. that chance is called the significance level of the test or decision rule. for a given significance level, one way of deciding which decision rule is best is to pick the one that has the smallest chance of a type ii error when a given alternative hypothesis is true. the chance of correctly rejecting the null hypothesis when a given alternative hypothesis is true is called the power of the test against that alternative.

  2. A statistical technique for evaluation of hypotheses or conjectures about unobserved or unobservable numerical properties of a population. the statistic that measures the quantity of interest is evaluated, along with its variability, on a sample of the data from the population, and compared to the range of values consistent with one of the hypotheses. in classical frequentist hypothesis testing, if the value is rare or unusual, the hypothesis is rejected.