標(biāo)題: Titlebook: New Statistical Developments in Data Science; SIS 2017, Florence, Alessandra Petrucci,Filomena Racioppi,Rosanna Verd Conference proceeding [打印本頁] 作者: VERSE 時間: 2025-3-21 18:22
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作者: lymphedema 時間: 2025-3-22 00:17 作者: PHIL 時間: 2025-3-22 02:38 作者: inscribe 時間: 2025-3-22 08:14
Sample Design for the Integration of Population Census and Social Surveys Il Disegno Campionario perveys. The aim of this work is to compare two sampling strategies for the census survey sample. The first comprises pooling together the samples of the main social surveys, while the second consists of an ad hoc sampling design. Different estimation procedures are taken into account in order to compare the two sampling strategies.作者: 使增至最大 時間: 2025-3-22 08:46 作者: Prosaic 時間: 2025-3-22 14:36
Conference proceedings 2019held in Florence, Italy on June 28-30, 2017.?Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research.?The 35 contributions have been divided into作者: spinal-stenosis 時間: 2025-3-22 20:13
Text Mining and Big Textual Data: Relevant Statistical Modelsxpression: correlation is not causation. Application areas are: quantitative and also qualitative assessment, narrative analysis and assessing impact, and baselining and contextualizing, statistically and in related aspects such as visualization.作者: Pericarditis 時間: 2025-3-23 01:14 作者: A精確的 時間: 2025-3-23 03:43
Monitoring the Spatial Correlation Among Functional Data Streams Through Moran’s Indexed data are more likely to be similar when measured at nearby locations rather than in distant places. In order to monitor such correlation over time and to deal with huge amount of data, we propose a strategy based on computing the well known Moran’s index and Geary’s index on summaries of the data.作者: orthodox 時間: 2025-3-23 09:16 作者: 民間傳說 時間: 2025-3-23 11:38
Performance Comparison of Heterogeneity Measures for Count Data Models in Bayesian Perspective the advantage of Bayesian modelling by incorporating plausible prior distributions on the parameter of interest. The study is illustrated with a data on rental bikes obtained from UC Irvine Machine Learning Repository. Results have indicated the impact of prior distributions and usage of heterogeneity estimators in count data models.作者: 我正派 時間: 2025-3-23 14:56
Sampling and Modelling Issues Using Big Data in Now-Castingg and forecasting, with a significant impact on final results and their interpretation. Using a MIDAS model with Google Trends covariates, we analyse sampling error issues and time-domain effects triggered by these digital economy new data sources.作者: emulsify 時間: 2025-3-23 18:31
2194-1009 siness operations and provide essential information for deci.This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017.?Highlighting the central role of statistics a作者: Gum-Disease 時間: 2025-3-24 01:35
User Profile Construction Method for Personalized Access to Data Sources Using Multivariate Conjoint on a Multivariate Conjoint Analysis approach to get these profiles. The proposed strategy provides a representation of the users and of the items, according to their characteristics, on factorial plans; whereas, the collaborative approach predicts the missing preferences.作者: Aerate 時間: 2025-3-24 02:36 作者: macular-edema 時間: 2025-3-24 06:35 作者: Friction 時間: 2025-3-24 13:33 作者: ORE 時間: 2025-3-24 16:37
Bayesian Estimation of Causal Effects in Carcinogenicity Tests Based upon CTActual data; (ii) making cumbersome transformations to original counts; (iii) constraining distributions at low concentrations to have a variance larger than the mean. Open issues are discussed in relation to the current practice adopted to perform multi-laboratory experiments on the same substance.作者: 身體萌芽 時間: 2025-3-24 20:43 作者: 擴(kuò)大 時間: 2025-3-25 02:09
2194-1009 ers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt withhere. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role..978-3-030-21160-8978-3-030-21158-5Series ISSN 2194-1009 Series E-ISSN 2194-1017 作者: grotto 時間: 2025-3-25 03:45
Francesco Santelli,Francesco Palumbo,Giancarlo Ragozini作者: 觀點 時間: 2025-3-25 11:20 作者: morale 時間: 2025-3-25 13:15 作者: IRATE 時間: 2025-3-25 17:12
Conference proceedings 2019istics.?Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt withhere. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role..作者: Frequency 時間: 2025-3-25 23:47 作者: Palliation 時間: 2025-3-26 02:41 作者: 熒光 時間: 2025-3-26 04:35
A. Balzanella,E. Romano,Rosanna Verde,F. Fortuna,F. Maturo,S. A. Gattone,T. Di Battistachritt findet die entscheidende Kreativit?t bei der Strategieentwicklung statt. Erkenntnisse aus dem Lernschritt und der Umweltanalyse werden genutzt, um innovative Ideen rund um den strategischen Fokus zu entwickeln. Dabei werden kommen verschiedene Ideengenerierungstechniken zur Anwendung. Am Ende作者: 大火 時間: 2025-3-26 11:16 作者: 緩解 時間: 2025-3-26 15:56 作者: 按時間順序 時間: 2025-3-26 18:29 作者: Torrid 時間: 2025-3-26 21:35 作者: 饒舌的人 時間: 2025-3-27 04:09
analysiert...Das Buch wendet sich an Dozenten und Studierende der Betriebswirtschaftslehre mit den Schwerpunkten Management, Organisation und Gesundheits?konomie sowie an Führungskr?fte und Berater im Gesundheitswesen. .978-3-8244-8080-7978-3-663-11540-3作者: 不怕任性 時間: 2025-3-27 05:38
Johan Koskinen,Chiara Broccatelli,Peng Wang,Garry Robinsanalysiert...Das Buch wendet sich an Dozenten und Studierende der Betriebswirtschaftslehre mit den Schwerpunkten Management, Organisation und Gesundheits?konomie sowie an Führungskr?fte und Berater im Gesundheitswesen. .978-3-8244-8080-7978-3-663-11540-3作者: 是貪求 時間: 2025-3-27 10:47 作者: –FER 時間: 2025-3-27 17:05 作者: Fecundity 時間: 2025-3-27 21:26 作者: 彩色的蠟筆 時間: 2025-3-27 23:39
Claudia De Vitiis,Alessio Guandalini,Francesca Inglese,Marco Dionisio Terribilielt, deren Geldpolitik das System im Gleichgewicht gehalten hatte. Geschwunden war auch der Gleichmut, mit dem früher Arbeitslosigkeit in Kauf genommen wurde, wenn aus Gründen der Wechselkursstabilisierung eine deflatorische Politik verfolgt werden mu?te. Vollbesch?ftigung hatte als Ziel der Preisst作者: xanthelasma 時間: 2025-3-28 04:11
Alessandra Petrucci,Filomena Racioppi,Rosanna VerdHighlights key statistical methods and recent contributions to data science.Shows how Statistics and Data Analysis techniques can support business operations and provide essential information for deci作者: 微不足道 時間: 2025-3-28 08:20 作者: 假裝是你 時間: 2025-3-28 10:34
https://doi.org/10.1007/978-3-030-21158-5Data Science; Big Data; Data Analysis; Knowledge Based Methods; Complex Data Analytics; Proceedings; Machi作者: Paraplegia 時間: 2025-3-28 18:05 作者: 排斥 時間: 2025-3-28 18:54
New Statistical Developments in Data Science978-3-030-21158-5Series ISSN 2194-1009 Series E-ISSN 2194-1017 作者: MURKY 時間: 2025-3-29 02:44
Monitoring the Spatial Correlation Among Functional Data Streams Through Moran’s Indexatially located sensors are used for performing at a very high frequency, repeated measurements of some variable. Due to the spatial correlation, sensed data are more likely to be similar when measured at nearby locations rather than in distant places. In order to monitor such correlation over time 作者: neutralize 時間: 2025-3-29 04:15
User Profile Construction Method for Personalized Access to Data Sources Using Multivariate Conjointources they questioned, nor their description and content. Consequently, their queries reflect no more a need that must be satisfied but an intention that must be refined. The purpose of personalization is to facilitate the expression of users’ needs. It allows them to obtain relevant information by作者: grandiose 時間: 2025-3-29 10:24
Clustering Communities Using Interval K-Meansined as communities. In this work we will propose an approach to cluster the different communities using interval data. This approach is relevant in the context of the analysis of large networks and, in particular, in order to discover the different functionalities of the communities inside a networ作者: GLARE 時間: 2025-3-29 13:14
Text Mining and Big Textual Data: Relevant Statistical Modelsss in Big Data environments. At issue are early stage case studies relating to: research publishing and research impact; literature, narrative and foundational emotional tracking; and social media, here Twitter, with a social science orientation. Central relevance and importance will be associated w作者: RALES 時間: 2025-3-29 18:23 作者: 愉快么 時間: 2025-3-29 20:47
Comparing FPCA Based on Conditional Quantile Functions and FPCA Based on Conditional Mean Function on the functional mean. Quantile regression characterizes the conditional distribution of a response variable and, in particular, some features like the tails behavior; smoothing splines have also been usefully applied to quantile regression to allow for a more flexible modelling. This framework fi作者: 異端邪說下 時間: 2025-3-30 02:51 作者: anesthesia 時間: 2025-3-30 05:21 作者: MONY 時間: 2025-3-30 08:47 作者: reperfusion 時間: 2025-3-30 16:19 作者: palpitate 時間: 2025-3-30 20:06
Discovering and Locating High-Energy Extra-galactic Sources by Bayesian Mixture Modellingwe carry out an unsupervised analysis of the collection of high-energy photons accumulated by the Large Area Telescope, the principal instrument on board the . spacecraft, over a period of around 7.5 years using a Bayesian mixture model. A fixed, though unknown, number of parametric components ident作者: Fermentation 時間: 2025-3-30 21:43
Bayesian Estimation of Causal Effects in Carcinogenicity Tests Based upon CTAn widely yet to be tested for carcinogenicity. Cell Transformation Assays (CTAs) are cheap and fast in vitro methods developed to screen chemical substances without resorting to animal-based testing. Here we propose two models for potential outcomes to estimate causal effects of different concentrat作者: Mast-Cell 時間: 2025-3-31 04:35 作者: Pastry 時間: 2025-3-31 07:25
Sampling and Modelling Issues Using Big Data in Now-Castingganizations producing official statistics worldwide. However, the use of Big Data has many neglected implications in terms of model estimation, testing and forecasting, with a significant impact on final results and their interpretation. Using a MIDAS model with Google Trends covariates, we analyse 作者: 路標(biāo) 時間: 2025-3-31 12:41
Sample Design for the Integration of Population Census and Social Surveys Il Disegno Campionario per data and data coming surveys, will be carried out every year. This put an end to the era of traditional decennial censuses. The census survey sample is aimed at updating the data contained in the integrated system of registers. Furthermore, the new census will be integrated with the main social sur作者: 安心地散步 時間: 2025-3-31 16:59
Sampling Schemes Using Scanner Data for the Consumer Price Indexfrom retail modern distribution, provided to ISTAT by Nielsen for a large number of stores selling food and grocery, is the starting point of this innovation. Indeed, SD represent a big opportunity for improving the computation of Consumer Price Index (CPI). This work aims to study the properties of作者: curriculum 時間: 2025-3-31 19:35
ehmen einen Mehrwert für seine Kunden schaffen will. Der erste Schritt, die Beobachtung, zielt darauf ab, Erkenntnisse zu gewinnen, die für die Strategiegestaltung von Nutzen sein k?nnen. Der Schwerpunkt der Beobachtung liegt auf der Schaffung der Grundlagen für die anschlie?ende Entwicklung innovat作者: 敏捷 時間: 2025-4-1 00:20
