Examples of using See chapter in English and their translations into Serbian
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Colloquial
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Ecclesiastic
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Computer
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Latin
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Cyrillic
Of ways(see Chapter 6).
See chapter Collaborative Writing of LaTeX Documents.
Meaning(see Chapter Four).
For further information, see chapter 4.
This(see chapter four).
For more information, see Chapter 4.
Please see chapter 2.4 for more information.
Stakeholders(see Chapter 4).
See chapter"Regional, Rural, Urban and Housing Aspects of Poverty".
For more about failure of“anonymization,” see chapter 6 of this book.
See chapter 23 and 24 of Imbens and Rubin(2015) for a more formal version of this discussion.
For other approaches, see chapter 21 of Imbens and Rubin(2015).
For a more complete discussion of the design andresults of the experiment see Chapter 4.
For a more formal definition of probability sampling designs, see chapter 2 of Särndal, Swensson, and Wretman(2003).
In the light and in the air,the colorless sterkobilinogen is oxidized to a colored pigment(stercobi-lin)(see Chapter 16).
Counterfeiting of the euro(see chapter 32- Financial control) According to the available information, the legal framework of Serbia is only partially in line with the acquis.
For measures against counterfeiting of the euro, see Chapter 32- Financial control.
In general, amplified asking will probably have high fixed costs andlow variable costs similar to digital experiments(see Chapter 4).
For protection of the euro against counterfeiting, see Chapter 32- Financial control.
To take one of many possible examples,when employees in corporations lack the freedom to speak openly without penalty they cannot be equal participants in discussions(see chapter 5).
This problem is an example of what is called two-sided noncompliance(see chapter 6 of Gerber and Green(2012)).
Netflix attempted to anonymize the data so that the ratings could not be linked to any specific individual, butjust weeks after the release of the Netflix data it was partially re-identified by Arvind Narayanan and Vitaly Shmatikov(2008)(see chapter 6).
For a more detailed description of the project of Blumenstock and colleagues, see chapter 3 of this book.
Working with 18 manifestos generated during six recent elections in the United Kingdom, Benoit and colleagues used the split-apply-combine strategy with workers from a microtask labor market(Amazon Mechanical Turk and CrowdFlower are examples of microtask labor markets;for more on such markets, see Chapter 4).
For an excellent overview of heterogeneity of treatment effects in field experiments, see Chapter 12 of Gerber and Green(2012).
This probably seems obvious to researchers accustomed to running experiments,but it is very important for those accustomed to working with big data sources(see chapter 2).
For an excellent overview of heterogeneity of treatment effects in field experiments, see Chapter 12 of Gerber and Green(2012).
Working with 18 manifestos generated during six recent elections in the UK, Benoit and colleagues used the split-apply-combine strategy with workers from a micro-task labor market(Amazon Mechanical Turk and CrowdFlower are examples of micro-task labor markets;for more on micro-task labor markets, see Chapter 4).
They are not effected by whether other people received the treatment orcontrol(for a more formal definition, see chapter 8 of Gerber and Green(2012)).
In terms of the first R(Replacement), comparing the Emotional Contagion experiment(Kramer, Guillory, and Hancock 2014) and the emotional contagion natural experiment(Coviello et al. 2014)offers some general lessons about the trade-offs involved with moving from experiments to natural experiments(and other approaches like matching that attempt to approximate experiments in non-experimental data, see Chapter 2).