Search results for "Probability."

Modeling the probability distribution of peak discharge for infiltrating hillslopes

2017

Hillslope response plays a fundamental role in the prediction of peak discharge at the basin outlet. The peak discharge for the critical duration of rainfall and its probability distribution are needed for designing urban infrastructure facilities. This study derives the probability distribution, denoted as GABS model, by coupling three models: (1) the Green-Ampt model for computing infiltration, (2) the kinematic wave model for computing discharge hydrograph from the hillslope, and (3) the intensity-duration-frequency (IDF) model for computing design rainfall intensity. The Hortonian mechanism for runoff generation is employed for computing the surface runoff hydrograph. Since the antecede…

A Power Law Behavior in the Incentivized Italian Photovoltaic Market

2018

The Italian photovoltaic (PV) marketis analyzed by using the data contained in the database that describes all PV Plants installed in Italy under the incentive program called “2nd Conto Energia”. It is shown that the cumulative probability distribution of the size of the installed PV plants has a broken power tail. An approach to partially quantify the effect of the economic, juridical and technical rules is introduced in order to show how the regulatory body influences the power tail of the cumulative probability curve.

Probabilistic Evaluation of the Adaptation Time for Structures under Seismic Loads

2016

Abstract In this paper, a probabilistic approach for the evaluation of the adaptation time for elastic perfectly plastic frames is proposed. The considered load history acting on the structure is defined as a suitable combination of quasi-statical loads and seismic actions. The proposed approach utilizes the Monte Carlo method in order to generate a suitable large number of seismic acceleration histories and for each one the related load combination is defined. Furthermore, for each load combination the related adaptation time is determined, if any, as the optimal one for which the structure is able to shakedown under the unamplified applied actions. A known generalized Ceradini's theorem i…

Book of Short Papers SIS 2018

2018

This book includes the papers presented at the "49th Meeting of the Italian Statistic Society". The conference has registered 445 participants, 350 reports divided into 4 plenary sessions, 20 specialised sessions, 25 sessions solicited, 27 sessions spontaneous, 2 poster sessions. The high number of participants, the high quality of the interventions, the productive spirit of the conference, the ability to respect the time table, are the main indices of the full success of this conference. The meeting hosted also, as plenary sessions, the ISTAT annual report 2018, and a round table on statistics and job markets. Methodological plenary sessions concerned with ordinal data, the dynamics of cli…

Explaining local governments' cost efficiency: Controllable and uncontrollable factors

2020

Abstract Efficient and effective management of public resources is essential at all levels of government. This issue has gained momentum due to the strains that affected public sector finances after the onset of the 2007/08 crisis in many countries, particularly in Europe. In this article, we evaluate the influence of environmental variables that affect local government efficiency in one European country, Spain, during the crisis years (2009–2015). To this end, and considering the possible influence of both controllable and uncontrollable factors, we use an approach that is able to analyse their impact across the conditional distribution of performance, and which controls for the (likely) e…

Applications of Microlocal Analysis in Inverse Problems

2020

This note reviews certain classical applications of microlocal analysis in inverse problems. The text is based on lecture notes for a postgraduate level minicourse on applications of microlocal analysis in inverse problems, given in Helsinki and Shanghai in June 2019.

Trend of inter-arrival times of rainfall events for Italian Sub-Alpine and Mediterranean areas

2011

On probabilistic interpretations of predicates

2016

In classical logic, any m-ary predicate is interpreted as an m-argument two-valued relation defined on a non-empty universe. In probability theory, m-ary predicates are interpreted as probability measures on the mth power of a probability space. m-ary probabilistic predicates are equivalently semantically characterized as m-dimensional cumulative distribution functions defined on Rm. The paper is mainly concerned with probabilistic interpretations of unary predicates in the algebra of cumulative distribution functions defined on R. This algebra, enriched with two constants, forms a bounded De Morgan algebra. Two logical systems based on the algebra of cumulative distributions are defined an…

Differences between students' PISA reading literacy scores and grading for mother tongue and literature at school : A geostatistical analysis of the …

2016

In Finland, the national Core Curriculum for Basic Education defines the learning objectives along with the numerical grade to be given for good competence in each school subject in the final phase of basic education. While serving as a guideline for schools and teachers, it should also ensure an objective evaluation of all students in Finland. In this paper, we take a closer look at the equality of student assessment in Finland in the light of student performance in the Programme for International Student Assessment (PISA) 2009. This study investigates the relationship between the grades given to students in mother tongue and literature at different schools and the same students’ reading l…

TISSBERT: A benchmark for the validation and comparison of NDVI time series reconstruction methods

2018

[EN] This paper introduces the Time Series Simulation for Benchmarking of Reconstruction Techniques (TISSBERT) dataset, intended to provide a benchmark for the validation and comparison of time series reconstruction methods. Such methods are routinely used to estimate vegetation characteristics from optical remotely sensed data, where the presence of clouds decreases the usefulness of the data. As for their validation, these methods have been compared with previously published ones, although with different approaches, which sometimes lead to contradictory results. We designed the TISSBERT dataset to be generic so that it could simulate realistic reference and cloud-contaminated time series …