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Titlebook: New Challenges for Sustainable Urban Mobility: Volume II; Proceedings of the X Maurizio Tira,Michela Tiboni,Giulio Maternini Conference pro

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Đorđe Petrović,Radomir M. Mijailović,Dalibor Pešićamples from medical literature to exemplify how statistical .This book provides clinical medicine readers with a detailed explanation of statistical concepts using non-technical terms. This allows clinicians and others without specialist statistical knowledge to understand the medical literature whe
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Ginevra Balletto,Martina Sinatra,Giuseppe Borruso,Francesco Sechi,Gianfranco Fancello quantify, express, and analyze their variabilities. This chapter outlines variables, distributions, and summaries, emphasizing the most commonly encountered “normal” distribution. We tried to explain in simple but correct terms: the primary and secondary risks of error, study power, basis of testin
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Mara Ladu,Silvia Battino,Ainhoa Amaro Garcia,Ginevra Balletto quantify, express, and analyze their variabilities. This chapter outlines variables, distributions, and summaries, emphasizing the most commonly encountered “normal” distribution. We tried to explain in simple but correct terms: the primary and secondary risks of error, study power, basis of testin
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Gloria Pellicelli,Silvia Rossetti,Michele Zazzi) visits. Two-part (zero and count) models like zero-inflated and hurdle regression models are recommended for modelling ANC visits with excess zeros. The intra-cluster correlation (ICC) can be accounted by incorporating cluster-specific random intercepts in the corresponding standard and two-part m
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Monica Pantaloni,Francesco Botticini,Giovanni Marinelliades in Australia. As a gateway subject for tertiary studies in Science, Technology, Engineering, and Mathematics (STEM), the persistent decline can impact the country’s economy in the long term. Understanding the causes of the decline can inform practice and help shed light on possible solutions. T
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Rosa Anna La Roccaain harvest crops and second largest rice crop in the country in respect to the volume of production. The main purpose of this study is to identify the Auto-Regressive Integrated Moving Average (ARIMA) model by Box-Jenkin’s approach that could be used to forecast the production of Aman Rice in Dhaka
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Ilenia Spadaro,Francesca Pirlone,Selena Candialing approaches for the proper collection of data from populations. We demonstrated, using the appropriate statistics, how we may extend our conclusions beyond our sample to our population. Probability sampling required reasoning with probabilities, and we provided a more detailed description of thi
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