The Matching Methodology: Some Statistical Properties (Lecture Notes in Statistics)

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9780387969701: The Matching Methodology: Some Statistical Properties (Lecture Notes in Statistics)

Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file­ merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers. One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful.

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Prem K. Goel, Thirugnanasambandam Ramalingam
Editore: Springer-Verlag New York Inc., United States (1989)
ISBN 10: 0387969705 ISBN 13: 9780387969701
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Descrizione libro Springer-Verlag New York Inc., United States, 1989. Paperback. Condizione libro: New. Language: English . Brand New Book ***** Print on Demand *****.Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file- merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers.One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful. Softcover reprint of the original 1st ed. 1989. Codice libro della libreria AAV9780387969701

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Prem K. Goel, Thirugnanasambandam Ramalingam
Editore: Springer-Verlag New York Inc., United States (1989)
ISBN 10: 0387969705 ISBN 13: 9780387969701
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Descrizione libro Springer-Verlag New York Inc., United States, 1989. Paperback. Condizione libro: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file- merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers.One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful. Softcover reprint of the original 1st ed. 1989. Codice libro della libreria LIE9780387969701

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Goel, Prem
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Descrizione libro Springer, 2016. Paperback. Condizione libro: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice libro della libreria ria9780387969701_lsuk

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PREM K. GOEL
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Descrizione libro Springer, 1989. Paperback. Condizione libro: NEW. 9780387969701 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Codice libro della libreria HTANDREE0276241

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Prem K. Goel, Thirugnanasambandam Ramalingam
Editore: Springer-Verlag New York Inc., United States (1989)
ISBN 10: 0387969705 ISBN 13: 9780387969701
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Descrizione libro Springer-Verlag New York Inc., United States, 1989. Paperback. Condizione libro: New. Language: English . Brand New Book ***** Print on Demand *****. Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file- merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers.One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful. Softcover reprint of the original 1st ed. 1989. Codice libro della libreria AAV9780387969701

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Descrizione libro Springer-Verlag New York Inc., 1989. PAP. Condizione libro: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria LQ-9780387969701

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Descrizione libro Springer-Verlag New York Inc., 1989. PAP. Condizione libro: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria IQ-9780387969701

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Descrizione libro Springer, 1989. Condizione libro: New. This item is printed on demand for shipment within 3 working days. Codice libro della libreria LP9780387969701

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Descrizione libro Springer, 1989. Paperback. Condizione libro: New. book. Codice libro della libreria 0387969705

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Goel, Prem K.; Ramalingam, Thirugnanasambandam
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Descrizione libro Springer, 1989. Paperback. Condizione libro: New. This item is printed on demand. Codice libro della libreria INGM9780387969701

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