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Unlike the present perfect, the past perfect can readily be used with an adverb specifying a past time frame for the occurrence. For example, it is incorrect to say * I have done it last Friday (the use of last Friday , specifying the past time, would entail the use of the simple past , I did it , rather than the present perfect).
The past perfect progressive (sometimes referred to as the past perfect continuous) combines had (the simple past of have) with been (the past participle of be) and the present participle of the main verb: You had been waiting. It is used to refer to an ongoing action that continued up to the past time of reference.
The past perfect progressive or past perfect continuous (also known as the pluperfect progressive or pluperfect continuous) combines perfect progressive aspect with past tense. It is formed by combining had (the past tense of auxiliary have), been (the past participle of be), and the present participle of the main verb.
The implications of the present perfect (that something occurred prior to the present moment) are similar to those of the simple past. The simple past is generally used when the occurrence has a specific past time frame – either explicitly stated (I wrote a book in 1995; the water boiled a minute ago), or implied by the context (for example ...
The prophetic perfect tense is a literary technique commonly used in religious texts [1] that describes future events that are so certain to happen that they are referred to in the past tense as if they had already happened.
Regular verbs form the simple past end-ed; however there are a few hundred irregular verbs with different forms. [2] The spelling rules for forming the past simple of regular verbs are as follows: verbs ending in -e add only –d to the end (e.g. live – lived, not *liveed), verbs ending in -y change to -ied (e.g. study – studied) and verbs ending in a group of a consonant + a vowel + a ...
In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. [1] Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a linear combination of unknown parameters.
TRIZ flowchart Contradiction matrix 40 principles of invention, principles based on TRIZ. One tool which evolved as an extension of TRIZ was a contradiction matrix. [14] The ideal final result (IFR) is the ultimate solution of a problem when the desired result is achieved by itself.