The present paper deals with the order selection of models of the class for autoregressive moving average. A novel method—previously designed to enhance the selection capabilities of the Akaike Information Criterion and successfully tested—is now extended to the other three popular selectors commonly used by both theoretical statisticians and practitioners. They are the final prediction error, the Bayesian information criterion, and the Hannan-Quinn information criterion which are employed in conjunction with a semiparametric bootstrap scheme of the type sieve.
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Objective Outpatient parenteral antimicrobial therapy (OPAT) provides opportunities for improved cost savings, but in the UK, implementation...
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Abstract Purpose Overcoming the flaws of current data management conditions in head and neck oncology could enable integrated informatio...
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A middle-aged poorly controlled diabetic man developed left-sided orbital and facial swelling several days after extraction of a left upper ...
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Universal newborn hearing screening (UNHS) has become the standard of care in many countries. The aim of this study was to evaluate the resu...
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The overall objective of the guideline is to provide up-to-date, evidence-based recommendations for the management of lichen sclerosus (LS)...
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Abstract The head-mounted display (HMD) has the potential to improve the quality of ultrasound-guided procedures. The aim of this non-clin...
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Background. Globally 3 to 8% of reproductive age women are suffering from premenstrual dysphoric disorder (PMDD). Several mental and reprodu...
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ACS Nano DOI: 10.1021/acsnano.7b01926 from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2pOw4te via...
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