Sentence examples for methods of statistical inference from inspiring English sources
The methods of statistical inference previously described are often referred to as classical methods.
Many of the methods of statistical inference are described in this article.
Bayesian proponents argue that the classical methods of statistical inference have built-in subjectivity (through the choice of a sampling plan) and that the advantage of the Bayesian approach is that the subjectivity is made explicit.
Although sample survey methods will be discussed in more detail below in the section Sample survey methods, it should be noted here that the methods of statistical inference, and estimation in particular, are based on the notion that a probability sample has been taken.
This book is notable for its wide-ranging account of methods of statistical inference, and also for the wealth of applications made to biology.
The largest departure Dn of Kolmogorov Smirnov test and the RE (percentage relative error) of estimation by LPA method is smaller than that of PDF fitted by standard methods of statistical inference.
Similarly, although an "unbiased" science may be impossible, there are many mechanisms scientists can adopt for protecting their reasoning against undesirable forms of bias, e.g., choosing an appropriate method of statistical inference.
To account for uncertainty involved in the statistical inference, 3000 incremental cost-effectiveness values were obtained through bootstrapping, a non-parametric method of statistical inference in which the empirical sampling distribution is estimated by repeated re-sampling from the observed distribution [ 36].
Further, they proved that in both cases only bootstrap methods were capable of statistical inference.
Continued development of methods for statistical inference of shallow-depth genome-wide sequencing data will allow such sparse, partial data sets to become the norm in the emerging field of population genomics.
(2) Use the nonparametric methods to reduce the reliance of statistical inference on the specific form of the models.
