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Periodical
Statistical Science
Author:
ISSN: 21688745 Year: 1986 Publisher: Hayward, Calif. : Institute of Mathematical Sciences,

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Abstract

The aim of Statistical Science is to present the full range of contemporary statistical thought at a technical level accessible to the broad community of practitioners, teachers, researchers, and students of statistics and probability. The journal publishes discussions of methodological and theoretical topics of current interest and importance, surveys of substantive research areas with promising statistical applications, comprehensive book reviews, discussions of classic articles from statistical literature, and interviews with distinguished statisticians and probabilists.


Periodical
Statistica.
Authors: ---
ISSN: 00390380 Year: 1941 Publisher: Bologna


Periodical
Sequential analysis.
ISSN: 15324176 Year: 1984 Publisher: [New York, NY] : Marcel Dekker, Inc.,


Book
The art of statistics : learning from data
Author:
ISBN: 9780241398630 0241398630 9780241258767 0241258766 Year: 2020 Publisher: Place of publication unknown Pelican

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Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. How many trees are there on the planet? Do busier hospitals have higher survival rates? Why do old men have big ears? Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science

Recent developments in statistical inference and data analysis : proceedings of the International conference in statistics in Tokyo
Author:
ISBN: 0444861041 Year: 1980 Publisher: Amsterdam North-Holland


Book
Medical statistics on microcomputers : a guide to the appropriate use of statistical packages
Authors: ---
ISBN: 0727902903 Year: 1992 Publisher: London BJM Publishing Group


Book
Smart Cities and Positive Energy Districts: Urban Perspectives in 2020
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Since their creation eight years ago, the EERA Joint Programmes and their participating institutions have accumulated important knowledge on specific topics of the programmes they carried out. This includes Smart Cities and Positive Energy Districts, which are not only crucial topics tackled by EERA Joint Programme in the Smart Cities Workplan, but also in H2020 as well as Horizon Europe or national calls, focusing on innovative solutions based on interdisciplinary approaches, which are needed to face the highly complex challenges in coming years, from sustainable urban development to emergencies in cities due to the COVID-19 pandemic. The foreword of EERA JP in SC Special Issue 1|2018 highlighted the aim of the Special Issues series, which was, and still is, to support the growth of research networks in the EC framework. According to this, our ambition is to publish the most promising research and innovation projects which EERA JPonSC partners, and others, set up in the framework of H2020 Programme, to drive the attention to the fact that EERA JP on SC is one of the strong voices in research in Europe, capable of highlighting and integrating different solutions and points of view.

Keywords

Research & information: general --- Technology: general issues --- positive energy districts labs --- testing facilities --- factsheets --- statistical studies --- electric buses --- greenhouse gas emissions --- low carbon energy public transport --- public transport --- sustainable development --- Polish city --- smart city --- renewable energy --- distributed generation --- urban policy --- Poland --- governance --- energy flexibility --- positive energy districts --- sustainable energy --- smart city deployment --- behaviour change --- carbon footprint: citizen motivation --- sustainability --- energy modelling --- building thermal performance --- refurbishment potential --- multivariable evaluation --- GIS --- TRNSYS --- centralized energy systems --- district heating systems --- energy demand in buildings --- distributed energy sources --- photovoltaic systems --- Positive Energy District (PED) --- PED Booklet --- SET-Plan --- positive energy district --- climate-neutral cities --- 15-minute city --- downsizing district --- doughnuts --- post-COVID-19 scenario for RD&amp --- I funding --- Positive Energy District --- sustainable urban areas --- transition --- positive energy districts labs --- testing facilities --- factsheets --- statistical studies --- electric buses --- greenhouse gas emissions --- low carbon energy public transport --- public transport --- sustainable development --- Polish city --- smart city --- renewable energy --- distributed generation --- urban policy --- Poland --- governance --- energy flexibility --- positive energy districts --- sustainable energy --- smart city deployment --- behaviour change --- carbon footprint: citizen motivation --- sustainability --- energy modelling --- building thermal performance --- refurbishment potential --- multivariable evaluation --- GIS --- TRNSYS --- centralized energy systems --- district heating systems --- energy demand in buildings --- distributed energy sources --- photovoltaic systems --- Positive Energy District (PED) --- PED Booklet --- SET-Plan --- positive energy district --- climate-neutral cities --- 15-minute city --- downsizing district --- doughnuts --- post-COVID-19 scenario for RD&amp --- I funding --- Positive Energy District --- sustainable urban areas --- transition


Periodical
The Australian and New Zealand journal of statistics
Authors: ---
ISSN: 13691473 1467842X Publisher: Canberra

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Keywords

Mathematical statistics --- Statistics --- Statistique --- Periodicals --- Périodiques --- Méthode statistique --- Statistical methods --- Statistics. --- Societies, Scientific. --- Computing, mathematics and information systems --- Mathematical Sciences --- Probability --- Périodiques --- EBSCOASP-E EJSTATI EPUB-ALPHA-A EPUB-PER-FT WILEY-E --- American Psychological Association --- Scientific Societies --- Scientific Society --- Society, Scientific --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Statistics as Topic. --- Area Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Statistical --- Study, Statistical --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Statistics as topic. --- Statistiek. --- Statistik. --- Zeitschrift. --- Periodikum --- Zeitschriften --- Presse --- Fortlaufendes Sammelwerk --- Mathematische Statistik --- Statistische Mathematik --- Statistische Methode --- Statistisches Verfahren --- Statistiken --- Datensammlung --- Stochastik --- Wahrscheinlichkeitsrechnung

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