Abstract
After describing the general inductive nature of statistical inference, this chapter introduces two popular methods of collecting data: simple random sampling—with or without replacement, and stratified random sampling. A comparison of these methods is made for estimating the mean of a population. The last section is devoted to some simple examples illustrating parametric, nonparametric and semiparametric inference problems.
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References
Cochran, G. W. (1977). Sampling techniques (3rd ed.). New York: Wiley.
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© 2016 Springer-Verlag New York
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Bhattacharya, R., Lin, L., Patrangenaru, V. (2016). Introduction. In: A Course in Mathematical Statistics and Large Sample Theory. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-4032-5_1
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DOI: https://doi.org/10.1007/978-1-4939-4032-5_1
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Publisher Name: Springer, New York, NY
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Online ISBN: 978-1-4939-4032-5
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