Is Statistica Sinica a good journal?

Is Statistica Sinica a good journal?

The overall rank of Statistica Sinica is 3131. According to SCImago Journal Rank (SJR), this journal is ranked 1.24. This journal has an h-index of 77. The best quartile for this journal is Q1.

Is Bayesian analysis a good journal?

It is published by Carnegie Mellon University. The overall rank of Bayesian Analysis is 785. According to SCImago Journal Rank (SJR), this journal is ranked 2.685.

What is a good journal index?

In most fields, the impact factor of 10 or greater is considered an excellent score while 3 is flagged as good and the average score is less than 1. This is a rule of thumb. The impact factor is a subjective matter and has the most meaning only when comparing journals within similar fields.

What is the best journal in statistics?

Title H index
1 Annals of Mathematics 138
2 Journal of Statistical Software 145
3 Journal of the Royal Statistical Society. Series B: Statistical Methodology 137
4 Annals of Statistics 178

How is Bayesian analysis used?

Bayesian analysis, a method of statistical inference (named for English mathematician Thomas Bayes) that allows one to combine prior information about a population parameter with evidence from information contained in a sample to guide the statistical inference process.

How do you rank a journal?

Journal Citation Reports ranks journals based on their impact factor within their disciplinary category. To find rankings for a journal, search for and select an individual journal.

What is stat journal in Oracle?

General Ledger provides two ways to enter statistical journals. You can enter journals with only statistical debit and credit amounts. If your user profile permits, you can also combine monetary and statistical amounts in the same journal line.

What is impact factor in statistics?

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate’s Web of Science. …

Is linear regression Bayesian?

In the Bayesian viewpoint, we formulate linear regression using probability distributions rather than point estimates. The response, y, is not estimated as a single value, but is assumed to be drawn from a probability distribution.