Epistolario de Menéndez y Pelayo y Rodríguez Marín : (1891-1912) : publicado con algunas breves por este último

• Record Nr.: UNISALENTO991002638199707536
• Autore: Menéndez y Pelayo, Marcelino
• Pubbl/distr/stampa: Madrid : Bremejo, 1935
• Descrizione fisica: XIII, 349 p. ; 21 cm.
• Altri autori (Persone): Rodríguez Marín, Francisco
• Disciplina: 861.5
• Soggetti: Menéndez y Pelayo, Marcelino - Lettere e carteggi; Rodríguez Marín, Francisco - Lettere e carteggi
• Lingua di pubblicazione: Spagnolo
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Maximum likelihood estimation for sample surveys / / R.L. Chambers. [et al.]

• Record Nr.: UNINA9910963410803321
• Autore: Chambers R. L (Ray L.)
• Pubbl/distr/stampa: Boca Raton, Fla., : CRC Press, 2012; Boca Raton, Fla. : , : CRC Press, , 2012
• ISBN: 1-04-020867-3; 0-429-14472-5; 1-4200-1135-9
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (374 p.)
• Collana: Monographs on statistics and applied probability ; ; 125
• Disciplina: 001.4; 001.4/33; 001.433
• Soggetti: Sampling (Statistics); Surveys - Statistical methods
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "A Chapman & Hall book."
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Front Cover; Dedication; Contents; Preface; 1. Introduction; 2. Maximum likelihood theory for sample surveys; 3. Alternative likelihood-based methods for sample survey data; 4. Populations with independent units; 5. Regression models; 6. Clustered populations; 7. Informative nonresponse; 8. Maximum likelihood in other complicated situations; Notation
• Sommario/riassunto: Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes