Sentence examples for method of statistical inference from inspiring English sources

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].

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.

Since then, methods of statistical inference on variances are extensively studied under various aspects in numerous papers, see e.g. (Mirvaliev 1987; Plackett 1983; Statlect 2016) and the recent survey in (Bolboaca et al. 2011), for only to mention a few of them.

Second, we use accepted methods of statistical inference to test the impact of DOTS expansion.

Our technique attempts to integrate knowledge the user brings to the problem with methods of statistical inference.