Advanced Methods in Statistics, Data Science and Related Applications SIS 2022, Caserta, Italy, June 22–24 /

This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers around the SIS, is paying particular attention to the...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
সংস্থা লেখক: SpringerLink (Online service)
অন্যান্য লেখক: Bini, Matilde (Editor), Balzanella, Antonio (Editor), Masserini, Lucio (Editor), Verde, Rosanna (Editor)
বিন্যাস: বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ
ভাষা:ইংরেজি
প্রকাশিত: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
সংস্করন:1st ed. 2024.
মালা:Springer Proceedings in Mathematics & Statistics, 467
বিষয়গুলি:
অনলাইন ব্যবহার করুন:https://doi.org/10.1007/978-3-031-65699-6
ট্যাগগুলো: ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
সূচিপত্রের সারণি:
  • C. Marini, and V. Nicolardi, Administrative database and official statistics: an IT and Statistical procedure
  • F. Mariani, M. Ciommi, M. C. Recchioni, Giuseppe Ricciardo Lamonica and Francesco Maria Chelli, Working with Non-Compensatory Composite Indicators: A Case Study Based on SDG for Mediterranean Countries
  • D. Bondonio and P. Chirico, Intertemporal statistical matching for causal inference in the context of multivariate time-series data
  • C. Rosanna, G. M. Gabriella and Z. Emma, Scaling UX-AI products: CFA & PLS-SEM comparison
  • L. Pagani, M. C. Zanarotti and A. Habus, The construction of a Heat Vulnerability Index by means of the Composite Indicator approach: a case study for Friuli Venezia Giulia Region, Italy
  • C. Pangallo, Oliviero Casacchia e Corrado Polli, The manual, communicative and quantitative abilities of native and foreign workers according to their level of education in Italy
  • E. Dzuverovic and E. Otranto, Nonlinear HAR Models and Nonlinear Least Squares: Asymptotic Properties
  • P. Quatto and E. Ripamonti, Measuring strength of randomized clinical trials
  • A. Bianchino, Armando d’Aniello, Daniela Fusco, Improving administrative data quality on tourism using Big Data
  • R. Fontana and F. Rapallo, Robust designs against data loss: A general approach
  • S. D. Tomarchio, A. Punzo and A. Maruotti, Matrix-variate hidden Markov models: an application to employment data
  • F. Bitonti, Integrating structuralism and diffusionism to explain the new Italian emigration
  • F. Bitonti1, A. Mazza, Spatial explorative analysis of thyroid cancer in Sicilian volcanic areas
  • I. Sciascia, Adjusted calibration estimators for sparse spatial data
  • N. Trendafilov and M. Gallo and V. Simonacci and V. Todorov, Discrimination via principal components
  • G. Greca, G. Cinquegrana and G. Fosco, A regional analysis of the efficiency by energy producers in Italy
  • M. Scioni and P. Annoni, An Alternative Aggregation Function for the UNDP Human Development Index
  • F. Attili and M. Costa, Decomposing inequality after asymmetric shocks: an analysis of Italian household consumption
  • D. Fusco, M. Antonietta Liguori, V. Moretti, F. G. Truglia, Spatial statistics analysis using microdata: an application agricultural sector
  • I. Primerano, G. Giordano, M. Prosperina Vitale, Exploring factors affecting the evaluation of online learning services. Evidence from a social science bachelor’s degree
  • M. Zannella, A. De Rose, E. Aloè, M. Corsi, Paid and Unpaid Work in Pandemic Times. A Study on the Division of Household Labour and the Subjective Well-being of Working Mothers in Italy
  • G. Bove, Measures of interrater agreement for quantitative scales based on the standard deviation
  • D. Giuliani, M. Michela Dickson, F. Santi, G. Espa, An empirical tool to classify industries by regional concentration and spatial polarization
  • B. Guindani, D. Ardagna and A. Guglielmi, Bayesian optimization for cloud resource management through machine learning.