Statistica Applicata

Aims & Scope

Founded in 1967 with the name "Rivista di Statistica Applicata" and renewed in 1989 when it was given its current name, the Italian Journal of Applied Statistics is a quarterly leading journal to foster the results of studies – empirical, methodological, computational and epistemological – in the field of applied statistics.

These studies encompass the whole spectrum of human, social, technological and environmental sciences, including the planning and evaluation of systems, services and policies, and the municipal, regional, national and international organizations.

Topics covered include health, education and welfare, employment, jobs and careers, cultures, minorities, social customs and social deviations, inequality and poverty, leisure, sports, the natural environment, production technology, communication and the information society.

The journal is available also on line.

The on line version is parallel and numbered as the paper version of the journal.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.173

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	5

Journal Rank

Year	Value
2024	22949

Journal Citation Indicator

Year	Value
2024	28

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• NORMALIZING RISK MEASURES IN RISK-BASED PORTFOLIOS THROUGH COVARIANCE MISSPECIFICATION ERROR ANALYSIS

  Citation: 0

  Authors: Enrico, Claudio

• Non-Uniqueness of E(s2)-Optimal Supersaturated Designs for N ≡ 2 (mod 4) Runs with Application to the Case N = 10 Runs

  Citation: 0

  Authors: Francois K., Micheal

• ON A WIDE CLASS OF GENERALIZED GEOMETRIC DISTRIBUTION FOR OVER AND UNDER DISPERSED DATA SETS

  Citation: 0

  Authors: C. Satheesh, S

• A MODIFIED CORRELATION BASED REGULARIZATION TECHNIQUE FOR REGRESSION ESTIMATION AND FEATURE SELECTION

  Citation: 0

  Authors: Isaac Adeola, Dolapo Abidemi

• MATCHING AND INTEGRATION OF REGISTRY AND SURVEY DATA ON THE DYNAMICS OF WORK HISTORIES: A PILOT STUDY

  Citation: 0

  Authors: Martina, Sonia

• THE DISCRETE NEW XLINDLEY DISTRIBUTION: A STATISTICAL FRAMEWORK FOR MODELLING MEDICAL AND BIOLOGICAL SCIENCE DATA

  Citation: 0

  Authors: Na, Peer Bilal

• GIBBS SAMPLING FOR AN EXPONENTIA TED POWER LOMAX DISTRIBUTION WITH DIFFERENT PRIORS

  Citation: 0

  Authors: S, A

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