Feature Articles on Employment and Labour - Statistics on Job Vacancies

Australian and New Zealand journal of statistics - ResearchHelpDesk - The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association. The main body of the journal is divided into three sections. The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation. There is a strong preference for papers motivated by, and illustrated with, real data. The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. It seeks to aid teachers of statistics by placing statistical methods in context. The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing. Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems. In addition, suitable review papers and articles of historical and general interest will be considered. The journal also publishes book reviews on a regular basis. Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Elite (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) CompuMath Citation Index (Clarivate Analytics) Current Index to Statistics (ASA/IMS) Journal Citation Reports/Science Edition (Clarivate Analytics) Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS) RePEc: Research Papers in Economics Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Statistical Theory & Method Abstracts (Zentralblatt MATH) ZBMATH (Zentralblatt MATH)

Teaching Statistical Concepts Using Computing Tools: A Review of the Literature

Ice cream consumption is a global phenomenon with a wide variety of flavors and options available. This article explores interesting statistics about ice cream consumption, including global consumption, per capita consumption, popular flavors, production and sales, frozen treats industry, seasonal consumption, health and dietary trends, and ice cream parlors and chains.

What do the alt-metrics of figshare items tell us? This dataset lists Altmetric data for the top 100 figshare repository items, categorised by type (retrieved on 9 March 2013). The data appear in an Interactions post on the Altmetric blog.

The data set contains count of number of articles published by Covenant University Lecturers, in Ota, Ogun State, Nigeria. The dataset contains a sample of 126 lecturers comprising 99 from College of Business and Social Sciences, and 27 from College of Leadership. The dataset include the number of articles published by the lecturers from 2013-2015. The response variable was the number of article produced by lecturers (NOP) which was obtained by counting. Predictors are Gender of lecturers (SEX), male was coded 1, and female as 0, marital status (MS), married was coded as 1 and single as 0, number of children each lecturer have (CHD), years of teaching/lecturing experience (EXP), cadre indicating whether senior or junior lecturer, Assistant lecturer and lecturer II are categorized as Lower cadre, and coded as 0, while lecturer I up to professor are categorize as higher cadre, and coded as 1. Another predictor is number of undergraduate course(s) taught within the period of observation (UGC), and number of postgraduate course(s) taught within the period of observation (UPC).

Feature Articles on Employment and Labour - Salary Statistics of Middle-Level Managerial and Professional Employees

This book is written for engineers and students at technical universities who plan to conduct human subject research.

Data and codes for reproducing the MCMC inferences, tables and the main figures described in Kwame Adrakey et al. 2023. Bayesian inference for spatio-temporal stochastic transmission of plant disease in the presence of roguing: a case study to estimate the dispersal distance of Flavescence dorée. The codes are written in C and R languages.

United States Imports: 3-Digit: Articles of Rubber data was reported at 432.550 USD mn in May 2018. This records an increase from the previous number of 423.118 USD mn for Apr 2018. United States Imports: 3-Digit: Articles of Rubber data is updated monthly, averaging 244.889 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 445.241 USD mn in Mar 2015 and a record low of 117.153 USD mn in Aug 1996. United States Imports: 3-Digit: Articles of Rubber data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA016: Trade Statistics: SITC: Imports: Customs.

United States Imports: CIF: 3-Digit: JP: Articles of Apparel data was reported at 3.918 USD mn in May 2018. This records an increase from the previous number of 2.791 USD mn for Apr 2018. United States Imports: CIF: 3-Digit: JP: Articles of Apparel data is updated monthly, averaging 2.693 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 5.637 USD mn in Oct 2000 and a record low of 0.660 USD mn in Jan 1996. United States Imports: CIF: 3-Digit: JP: Articles of Apparel data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA095: Trade Statistics: Japan: Imports: CIF: SITC.

Statistics illustrates consumption, production, prices, and trade of Household and Sanitary Articles of Paper in United States Virgin Islands from 2007 to 2024.

A journal cover is usually eye-catching and compelling, but what will become of it as electronic journals overtake traditional print publishing? Articles that are featured on journal covers are given a prominent place in the public eye, but in the era of PDFs, does being a featured article guarantee a high Altmetric score? We collected all of the cover articles in Nature and Science that were published within the past year (Jan 2012 - Jan 2013) and looked at their Altmetric scores. These data appear in companion to a blog post on the Altmetric blog.

United States Export: FAS: Italy: Misc Manufactured Articles data was reported at 247.244 USD mn in May 2018. This records an increase from the previous number of 162.954 USD mn for Apr 2018. United States Export: FAS: Italy: Misc Manufactured Articles data is updated monthly, averaging 128.131 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 248.307 USD mn in Jul 2002 and a record low of 69.934 USD mn in Aug 1998. United States Export: FAS: Italy: Misc Manufactured Articles data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA058: Trade Statistics: Indonesia and Italy: SITC.

Imports: 2-Digit: KR: Miscellaneous Manufactured Articles data was reported at 180.744 USD mn in May 2018. This records a decrease from the previous number of 180.879 USD mn for Apr 2018. Imports: 2-Digit: KR: Miscellaneous Manufactured Articles data is updated monthly, averaging 96.942 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 287.543 USD mn in Oct 2016 and a record low of 64.367 USD mn in Feb 2009. Imports: 2-Digit: KR: Miscellaneous Manufactured Articles data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA097: Trade Statistics: Korea: Imports: Customs: SITC.

Imports: 2-Digit: BR: Textile Yarn, Fabrics & Articles data was reported at 7.344 USD mn in Sep 2018. This records an increase from the previous number of 5.968 USD mn for Aug 2018. Imports: 2-Digit: BR: Textile Yarn, Fabrics & Articles data is updated monthly, averaging 13.919 USD mn from Jan 1996 (Median) to Sep 2018, with 273 observations. The data reached an all-time high of 41.617 USD mn in Feb 2006 and a record low of 3.522 USD mn in Jun 2018. Imports: 2-Digit: BR: Textile Yarn, Fabrics & Articles data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.JA071: Trade Statistics: Brazil: Imports: Customs: SITC.

Lecture about machine learning in fMRI.

Covers the latest trends in the UK's health and contains commentary on the latest health findings, topical articles illustrated with colour charts and diagrams, and regularly updated statistical graphs and tables. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: HSQ

It contains ATAC-seq data files from Shim et al. 2021.Reference : https://arxiv.org/abs/2106.13634

Pen-and-paper homework and project-based learning are both commonly used instructional methods in introductory statistics courses. However, there have been few studies comparing these two methods exclusively. In this case study, each was used in two different sections of the same introductory statistics course at a regional state university. Students’ statistical literacy was measured by exam scores across the course, including the final. The comparison of the two instructional methods includes using descriptive statistics and two-sample t-tests, as well authors’ reflections on the instructional methods. Results indicated that there is no statistically discernible difference between the two instructional methods in the introductory statistics course.