0378-3758
Published by: Elsevier
https://www.journals.elsevier.com/journal-of-statistical-planning-and-inference
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 427 | 33 | 44 | 6 |
The discussions in the journal mainly cover the fields of Statistics, Applied mathematics, Estimator, Combinatorics and Econometrics. Regression analysis, Asymptotic distribution, Statistical hypothesis testing, Sample size determination and Nonparametric statistics are some of the study areas of Statistics discussed. The work on Regression analysis addressed in the journal expands to the thematically related Linear regression.
Test statistic is a focus of the Statistical hypothesis testing works in it. While Journal of Statistical Planning and Inference focused on Applied mathematics, it was also able to explore topics like Linear model, Mathematical optimization and Calculus. Mathematical optimization study tackled is connected to the field of Optimal design.
The research on Estimator featured in the journal combines topics in other fields like Mean squared error and Estimation theory. It focuses on Combinatorics but the discussions also offer insight into other areas such as Discrete mathematics and Random variable. The main emphasis of the journal is the research on Minimum-variance unbiased estimator, emphasizing the topic of Bias of an estimator.
The most cited articles generally zeroe in on subjects such as Statistics, Applied mathematics, Estimator, Econometrics and Mathematical optimization. The most cited papers concentrated on Statistics research, specifically Asymptotic distribution, Regression analysis, Nonparametric statistics, Statistical hypothesis testing and Mean squared error. The published articles explore topics in Applied mathematics which can be helpful for research in disciplines like Probability distribution, Linear model and Calculus.
Journal of Statistical Planning and Inference mainly tackles studies in Applied mathematics, Estimator, Statistics, Variance (accounting) and Consistency (statistics). Applied mathematics research featured in the journal incorporates concerns from various other topics such as Statistical hypothesis testing, Ergodic theory, Asymptotic distribution, Sequence and Order (group theory). While Estimator is the focus of it, it also provided insights into the studies of Nonparametric statistics, Quadratic equation, Model selection, Limit of a function and Sample (statistics).
Journal of Statistical Planning and Inference connects the study in Statistics with the closely related area of Type (model theory). While work presented in Journal of Statistical Planning and Inference provided substantial information on Variance (accounting), it also covered topics in Variable (computer science), Variance inflation factor, Calibration (statistics), Population sampling and Auxiliary variables. The concepts on Consistency (statistics) presented in Journal of Statistical Planning and Inference can also apply to other research fields, including Linear regression, Exact test, Parametric family, Likelihood-ratio test and Data set.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Journal of Statistical Planning and Inference (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Journal of Statistical Planning and Inference (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2022 edition, 3.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 3.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.00% of all publications and 83.33% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Ran Wei;Subhashis Ghosal
(2020)Qiuyan Zhang;Jiang Hu;Zhidong Bai
(2020)Hwan-Jin Yoon;Alan H. Welsh
(2020)Kun Ho Kim;Shih-Kang Chao;Wolfgang K. Härdle;Wolfgang K. Härdle
(2021)Zhantao Lin;Nancy Flournoy;William F. Rosenberger
(2020)Xiuqi Li;Subhashis Ghosal
(2021)Daniel J. Eck;Charles J. Geyer;R. Dennis Cook
(2020)Éric Marchand;Fanny Rancourt;William E. Strawderman
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