What is the translation of " PROBABILITY SAMPLING " in Croatian?

• uzorkovanje vjerojatnosti
• uzorkovanja vjerojatnosti
• vjerojatnost uzorkovanja

Examples of using Probability sampling in English and their translations into Croatian

Second era 1960- 2000 Random digit dialing(RDD) probability sampling.
Druga era 1960- 2000 Random znamenkasti biranje(RDD) uzorkovanje vjerojatnost.

The alternative to probability sampling is non-probability sampling.
Alternativa vjerojatnost uzorkovanja je non-verovatnoća uzorkovanje..

Currently, the dominant theoretical approach to representation is probability sampling.
Trenutno, dominantni teorijski pristup zastupljenost je vjerojatnost uzorkovanje.

Probability sampling methods and non-probability sampling methods.
Metode uzorkovanja vjerojatnosti i metode uzorkovanja ne-vjerojatnosti.

Online panels can use either probability sampling or non-probability sampling..
Online paneli mogu koristiti uzorkovanje vjerojatnosti ili uzorkovanje ne-vjerojatnosti.

Currently, the dominant approach to sampling for social research is probability sampling.
Trenutno, dominantan pristup uzorkovanju za društvena istraÅ3⁄4ivanja je uzorkovanje vjerojatnosti.

For a more formal definition of probability sampling designs, see chapter 2 of Särndal, Swensson, and Wretman 2003.
Za formalniju definiciju projekata uzorkovanja vjerojatnosti, pogledajte 2. poglavlje Särndal, Swensson, and Wretman 2003.

Some people find it surprising that this is true even when there is perfectly executed probability sampling.
Neki ljudi smatraju da je iznenađujuće što je to točno čak i kada se savršeno izvodi uzorkovanje vjerojatnosti.

Of course, it would be better to do perfectly executed probability sampling, but that no longer appears to be a realistic option.
Naravno, bilo bi bolje da to savršeno izvršava vjerojatnost uzorkovanja, ali to više ne izgleda da je realna opcija.

Figure 3.6: Probability sampling in practice and non-probability sampling are both large, heterogeneous categories.
Slika 3.6: Vjerojatnost uzorkovanje u praksi i ne-vjerovatnoća uzorkovanja su i velike, heterogene kategorije.

The first era of survey research was characterized by area probability sampling and face-to-face interviews.
Prva era anketama karakterizira podruje vjerojatnosti uzorkovanja i licem-u-lice intervjua.

I will start by introducing probability sampling, then move to probability sampling with nonresponse, and finally, non-probability sampling.
Početi ću uvođenjem uzorka vjerojatnosti, a zatim se prebaciti na uzorkovanje vjerojatnosti s neodgovorenim, i konačno, uzorkovanje ne-vjerojatnosti. Vjerojatnost uzorkovanja..

This second era, roughly from 1960- 2000, was characterized by random digit dialing(RDD) probability sampling and telephone interviews.
Ovo drugo doba, otprilike od 1960.- 2000. godine, obiljeÅ3⁄4ila je sluajna znamenkasti biranje(RDD) vjerojatnost za uzimanje uzoraka i telefonskih razgovora.

Over time, the differences between probability sampling in theory and probability sampling in practice have been increasing.
Tijekom vremena, razlike izmeÄ‘u uzorka vjerojatnosti u teoriji i uzorkovanja vjerojatnosti u praksi povećavaju.

In probability sampling, all members of the target population have a known, nonzero probability of being sampled, and all people who are sampled respond to the survey.
U uzorku vjerojatnosti, svi lanovi ciljne populacije imaju poznatu, nerezervativnu vjerojatnost uzimanja uzoraka, a svi ljudi koji se uzorkuju reagiraju na anketu.

Sometimes researchers want a quick and rigid rule(e.g., always use probability sampling methods), but it is increasingly difficult to offer such a rule.
Ponekad istraÅ3⁄4ivaÄi Å3⁄4ele brzo i kruto pravilo(npr. Uvijek koristite metode uzorkovanja vjerojatnosti), ali sve je teÅ3⁄4e ponuditi takvo pravilo.

There are a variety of styles of non-probability sampling methods, but the one thing that they have in common is that they cannot easily fit in the mathematical framework of probability sampling Baker et al.
Postoje razni stilovi metoda uzorkovanja ne-vjerojatnosti, ali njihova zajednika stvar je da oni ne mogu lako uklopiti u matematiki okvir uzorkovanja vjerojatnosti Baker et al.

The main difference between probability and non-probability sampling is that with probability sampling everyone in the population has a known probability of inclusion.
Glavna razlika izmeÄ‘u vjerojatnost i ne-verovatnoća uzorkovanje je da uz vjerojatnost uzorkovanja svima u populaciji ima poznata vjerojatnost ukljuivanja.

Thus, it is important to distinguish between probability sampling in theory, which has strong theoretical guarantees, and probability sampling in practice, which offers no such guarantees and depends on a variety of statistical adjustments.
Stoga je vaÅ3⁄4no razlikovati teoriju uzorkovanja vjerojatnosti koja ima jaka teorijska jamstva i uzorkovanje vjerojatnosti u praksi, koja ne nudi takva jamstva i ovisi o razliitim statistikim prilagodbama.

The main difference between probability and non-probability sampling is that with probability sampling everyone in the population has a known probability of inclusion.
Glavna razlika između vjerojatnosti i uzorkovanja nisu vjerojatnost je da s vjerojatnosti uzorkovanja svima u populaciji je poznata vjerojatnost ukljuivanja.

In conclusion, this section has provided a model for probability sampling with non-response and shown the bias that nonresponse can introduce both without and with post-stratification adjustments.
Zakljuno, ovaj odjeljak je osigurao model za uzorkovanje vjerojatnosti s neodgovorom i pokazao pristranost koju neodredba moÅ3⁄4e uvesti i bez i s post-stratifikacijskim prilagodbama.

Although both approaches were used in the early days of sampling, probability sampling has come to dominate, and many social researchers are taught to view non-probability sampling with great skepticism.
Iako su oba pristupa korištena u ranim danima uzorkovanja, dominira se uzorkovanjem vjerojatnosti, a mnogi su socijalni istraÅ3⁄4ivaÄi poueni da uzimaju skeptian pogled na uzorkovanje ne-vjerojatnosti.

For the year 2005, Germany shall supply data of which 25% shall be based on probability sampling and 75% shall be based on quota samples, the latter to be progressively replaced by random selection so as to achieve fully representative probability sampling by 2008.
Za 2005. godinu Njemačka dostavlja podatke od kojih se 25% temelji na uzimanju uzoraka vjerojatnosti, a 75% se temelji na kvotnim uzorcima, a potonji se postepeno zamjenjuju slučajnim odabirom kako bi se do 2008. postiglo u potpunosti reprezentativno uzimanje uzoraka vjerojatnosti.

These new approaches can be used with either probability samples or non-probability samples..
Ti se novi pristupi mogu koristiti s uzorcima vjerojatnosti ili s uzorcima ne-vjerojatnosti.

Cross-sectional and longitudinal data shall be based on nationally representative probability samples.
Transverzalni i longitudinalni podaci temelje se na nacionalno reprezentativnim uzorcima vjerojatnosti.

First, as probability samples have become increasingly difficult to do in practice, the line between probability samples and non-probability samples is blurring.
Prvo, kao što su uzorci vjerojatnosti postaju sve teÅ3⁄4e raditi u praksi, linija izmeÄ‘u uzoraka vjerojatnosti i uzoraka koji nisu vjerojatnost zamućenja.

In addition to post-stratification, other techniques for working with non-probability samples-and probability samples with coverage errors and nonresponse-include sample matching Ansolabehere and Rivers 2013;???
Osim post-stratifikacije, druge tehnike za rad s uzorcima ne-vjerojatnosti- i uzorci vjerojatnosti s pogreškama pokrivanja i neodredbi- ukljuuju podudaranje uzoraka Ansolabehere and Rivers 2013;???

By way of exception to paragraph 1, Germany shall supply cross-sectional data based on a nationally representative probability sample for the first time for the year 2008.
Iznimno od stavka 1., Njemačka dostavlja transverzalne podatke koji se temelje na nacionalno reprezentativnom uzorku vjerojatnosti prvi put za godinu 2008.

In particular, they used post-stratification, a technique that is also widely used to adjust probability samples that have coverage errors and non-response.
Konkretno, oni su koristili post-stratifikaciju, tehniku koja je takoÄ‘er široko korištena za prilagodbu uzoraka vjerojatnosti koji imaju pogreške pokrivanja i neodgovor.

It is important that the volunteers do not need to be a probability sample from any population;
VaÅ3⁄4no je da volonteri ne treba biti uzorak vjerojatnost od bilo koje populacije;