Communications for Statistical Applications and Methods
ISSN:2287-7843

Communications for Statistical Applications and Methods

COMMUN STAT APPL MET
学科领域:数学
是否预警:不在预警名单内
是否OA:
录用周期:-
新锐分区:数学4区
年发文量:44
影响因子:0.6
JCR分区:Q4

基本信息

-
2287-7843ESCI/Scopus收录
0.6
0
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
数学4区
STATISTICS & PROBABILITY 统计学与概率论
4区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:STATISTICS & PROBABILITY
ESCI
Q4
144/169
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:STATISTICS & PROBABILITY
ESCI
Q4
150/169
暂无h-index数据
44
1%---STATISTICS & PROBABILITY-
16.7%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
100.00%100%-
CiteScore:1.10
SJR:0.227
SNIP:0.370
学科类别分区排名百分位
大类:Economics, Econometrics and Finance
小类:Finance
Q3
243 / 333
大类:Economics, Econometrics and Finance
小类:Applied Mathematics
Q3
492 / 665
大类:Economics, Econometrics and Finance
小类:Statistics, Probability and Uncertainty
Q4
133 / 175
大类:Economics, Econometrics and Finance
小类:Modeling and Simulation
Q4
277 / 361
大类:Economics, Econometrics and Finance
小类:Statistics and Probability
Q4
230 / 293

期刊高被引文献

A new extension of Lindley distribution: modified validation test, characterizations and different methods of estimation
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/csam.2019.26.5.473
Introduction to convolutional neural network using Keras; An understanding from a statistician
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/csam.2019.26.6.591
Restricted maximum likelihood estimation of a censored random effects panel regression model
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/csam.2019.26.4.371
Simultaneous outlier detection and variable selection via difference-based regression model and stochastic search variable selection
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.2.149
Threshold-asymmetric volatility models for integer-valued time series
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.3.295
An improved estimation procedure of population mean using bivariate auxiliary information under non-response
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/csam.2019.26.4.347
Inference for exponentiated Weibull distribution under constant stress partially accelerated life tests with multiple censored
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.2.131
Iterative integrated imputation for missing data and pathway models with applications to breast cancer subtypes
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/csam.2019.26.4.411
The transmuted GEV distribution: properties and application
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.3.239
Phase II Two-Stage Single-Arm Clinical Trials for Testing Toxicity Levels.
来源期刊:Communications for statistical applications and methodsDOI:10.29220/CSAM.2019.26.2.163
Higher-order solutions for generalized canonical correlation analysis
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.3.305
A two-step approach for variable selection in linear regression with measurement error
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.1.047
Least absolute deviation estimator based consistent model selection in regression
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.3.273
Interval prediction on the sum of binary random variables indexed by a graph
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.3.261
Goodness-of-fit tests based on generalized Lorenz curve for progressively Type II censored data from a location-scale distributions
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/CSAM.2019.26.2.191
A numerical study on group quantile regression models
来源期刊:Communications for Statistical Applications and MethodsDOI:10.29220/csam.2019.26.4.359

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