Exact Confidence Bounds when Sampling from Small Finite Universes: An Easy Reference Based on the Hypergeometric Distribution: v. 66 (Lecture Notes in Statistics)

Wright, Tommy

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There is a very simple and fundamental concept· to much of probability and statistics that can be conveyed using the following problem. PROBLEM. Assume a finite set (universe) of N units where A of the units have a particular attribute. The value of N is known while the value of A is unknown. If a proper subset (sample) of size n is selected randomly and a of the units in the subset are observed to have the particular attribute, what can be said about the unknown value of A? The problem is not new and almost anyone can describe several situations where a particular problem could be presented in this setting. Some recent references with different focuses include Cochran (1977); Williams (1978); Hajek (1981); Stuart (1984); Cassel, Samdal, and Wretman (1977); and Johnson and Kotz (1977). We focus on confidence interval estimation of A. Several methods for exact confidence interval estimation of A exist (Buonaccorsi, 1987, and Peskun, 1990), and this volume presents the theory and an extensive Table for one of them. One of the important contributions in Neyman (1934) is a discussion of the meaning of confidence interval estimation and its relationship with hypothesis testing which we will call the Neyman Approach. In Chapter 3 and following Neyman's Approach for simple random sampling (without replacement), we present an elementary development of exact confidence interval estimation of A as a response to the specific problem cited above.

From the Publisher:

This book is an extensive and easy to use reference for students and practitioners for finding exact confidence intervals when sampling from finite populations. It can be used by statisticians, engineers, life, physical, and social scientists, quality control personnel, auditors, accountants, and others. The book avoids the need for approximations especially in those cases where many approximations are known to perform poorly. This includes cases where the sample size is small and those cases where certain attributes are rare within the study population. The supporting development and theory of the exact results, provided in the table, are presented in an elementary manner making the book readily useful to a wide audience. While the problem addressed in this book is a common one, the exact solution is not commonly used by many, including statisticians, perhaps because of the involved combinatorics and the required computing. This book removes the need to compute these confidence bounds when sampling from small universes. This book will no doubt serve as a catalyst for research into other exact results and their applications for more complex sampling designs.

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1.Exact Confidence Bounds When Sampling from Small Finite Universes: v. 66: An Easy Reference Based on the Hypergeometric Distribution (Paperback)

Editorial: Springer-Verlag New York Inc., United States (1991)
ISBN 10: 0387975152 ISBN 13: 9780387975153
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Descripción Springer-Verlag New York Inc., United States, 1991. Paperback. Estado de conservación: New. 244 x 170 mm. Language: English . Brand New Book. There is a very simple and fundamental concept* to much of probability and statistics that can be conveyed using the following problem. PROBLEM. Assume a finite set (universe) of N units where A of the units have a particular attribute. The value of N is known while the value of A is unknown. If a proper subset (sample) of size n is selected randomly and a of the units in the subset are observed to have the particular attribute, what can be said about the unknown value of A? The problem is not new and almost anyone can describe several situations where a particular problem could be presented in this setting. Some recent references with different focuses include Cochran (1977); Williams (1978); Hajek (1981); Stuart (1984); Cassel, Samdal, and Wretman (1977); and Johnson and Kotz (1977). We focus on confidence interval estimation of A. Several methods for exact confidence interval estimation of A exist (Buonaccorsi, 1987, and Peskun, 1990), and this volume presents the theory and an extensive Table for one of them. One of the important contributions in Neyman (1934) is a discussion of the meaning of confidence interval estimation and its relationship with hypothesis testing which we will call the Neyman Approach. In Chapter 3 and following Neyman s Approach for simple random sampling (without replacement), we present an elementary development of exact confidence interval estimation of A as a response to the specific problem cited above. Softcover reprint of the original 1st ed. 1991. Nº de ref. de la librería KNV9780387975153

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2.Exact Confidence Bounds when Sampling from Small Finite Universes. An Easy Reference Based on the Hypergeometric Distribution

Editorial: Springer (1991)
ISBN 10: 0387975152 ISBN 13: 9780387975153
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Descripción Springer, 1991. Paperback. Estado de conservación: NEW. 9780387975153 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0276421

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3.Exact Confidence Bounds When Sampling from Small Finite Universes: v. 66

Editorial: Springer-Verlag New York Inc. (1991)
ISBN 10: 0387975152 ISBN 13: 9780387975153
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Descripción Springer-Verlag New York Inc., 1991. PAP. Estado de conservación: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería LQ-9780387975153

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4.Exact Confidence Bounds when Sampling from Small Finite Universes

ISBN 10: 0387975152 ISBN 13: 9780387975153
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Descripción Estado de conservación: New. Publisher/Verlag: Springer, Berlin | An Easy Reference Based on the Hypergeometric Distribution | There is a very simple and fundamental concept to much of probability and statistics that can be conveyed using the following problem. PROBLEM. Assume a finite set (universe) of N units where A of the units have a particular attribute. The value of N is known while the value of A is unknown. If a proper subset (sample) of size n is selected randomly and a of the units in the subset are observed to have the particular attribute, what can be said about the unknown value of A? The problem is not new and almost anyone can describe several situations where a particular problem could be presented in this setting. Some recent references with different focuses include Cochran (1977); Williams (1978); Hajek (1981); Stuart (1984); Cassel, Samdal, and Wretman (1977); and Johnson and Kotz (1977). We focus on confidence interval estimation of A. Several methods for exact confidence interval estimation of A exist (Buonaccorsi, 1987, and Peskun, 1990), and this volume presents the theory and an extensive Table for one of them. One of the important contributions in Neyman (1934) is a discussion of the meaning of confidence interval estimation and its relationship with hypothesis testing which we will call the Neyman Approach. In Chapter 3 and following Neyman&apos;s Approach for simple random sampling (without replacement), we present an elementary development of exact confidence interval estimation of A as a response to the specific problem cited above. | A0.- Application IV.3. To Test H0: A ? A0 Against Ha: A A0.- 2.5. Application V. Sample Size Determination Under Simple Random Sampling.- 2.6. Application VI. The Analogous Exact Inferences and Procedures of Applications I, II, III, IV, and V Can All Be Performed for P, the Universe (Population) Proportion, Under Simple Random Sampling.- 2.7. Application VII. Conservative Confidence Bounds Under Stratified Random Sampling with Four or Less Strata.- 2.8. Application VIII. Conservative Comparison of Two Universes.- 3. The Development and Theory.- 3.1. Exact Hypothesis Testing for a Finite Universe.- 3.2. Exact Confidence Interval Estimation for a Finite Universe.- 3.3. Some Additional Results On One-Sided Confidence Bounds.- 4. The Table of Lower and Upper Confidence Bounds.- 4.1. N = 2(1)50.- 4.2. N = 52(2)100.- 4.3. N = 105(5)200.- 4.4. N = 210(10)500.- 4.5. N = 600(100)1000.- 4.6. N = 1100(100)2000.- References. | Format: Paperback | Language/Sprache: english | 773 gr | 431 pp. Nº de ref. de la librería K9780387975153

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5.Exact Confidence Bounds When Sampling from Small Finite Universes: v. 66: An Easy Reference Based on the Hypergeometric Distribution (Paperback)

Editorial: Springer-Verlag New York Inc., United States (1991)
ISBN 10: 0387975152 ISBN 13: 9780387975153
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The Book Depository US
(London, Reino Unido)
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Descripción Springer-Verlag New York Inc., United States, 1991. Paperback. Estado de conservación: New. 244 x 170 mm. Language: English . Brand New Book. There is a very simple and fundamental concept* to much of probability and statistics that can be conveyed using the following problem. PROBLEM. Assume a finite set (universe) of N units where A of the units have a particular attribute. The value of N is known while the value of A is unknown. If a proper subset (sample) of size n is selected randomly and a of the units in the subset are observed to have the particular attribute, what can be said about the unknown value of A? The problem is not new and almost anyone can describe several situations where a particular problem could be presented in this setting. Some recent references with different focuses include Cochran (1977); Williams (1978); Hajek (1981); Stuart (1984); Cassel, Samdal, and Wretman (1977); and Johnson and Kotz (1977). We focus on confidence interval estimation of A. Several methods for exact confidence interval estimation of A exist (Buonaccorsi, 1987, and Peskun, 1990), and this volume presents the theory and an extensive Table for one of them. One of the important contributions in Neyman (1934) is a discussion of the meaning of confidence interval estimation and its relationship with hypothesis testing which we will call the Neyman Approach. In Chapter 3 and following Neyman s Approach for simple random sampling (without replacement), we present an elementary development of exact confidence interval estimation of A as a response to the specific problem cited above. Softcover reprint of the original 1st ed. 1991. Nº de ref. de la librería KNV9780387975153

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6.Exact Confidence Bounds when Sampling from Small Finite Universes

Editorial: Springer Jul 1991 (1991)
ISBN 10: 0387975152 ISBN 13: 9780387975153
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Descripción Springer Jul 1991, 1991. Taschenbuch. Estado de conservación: Neu. 244x170x24 mm. Neuware - There is a very simple and fundamental concept to much of probability and statistics that can be conveyed using the following problem. PROBLEM. Assume a finite set (universe) of N units where A of the units have a particular attribute. The value of N is known while the value of A is unknown. If a proper subset (sample) of size n is selected randomly and a of the units in the subset are observed to have the particular attribute, what can be said about the unknown value of A The problem is not new and almost anyone can describe several situations where a particular problem could be presented in this setting. Some recent references with different focuses include Cochran (1977); Williams (1978); Hajek (1981); Stuart (1984); Cassel, Samdal, and Wretman (1977); and Johnson and Kotz (1977). We focus on confidence interval estimation of A. Several methods for exact confidence interval estimation of A exist (Buonaccorsi, 1987, and Peskun, 1990), and this volume presents the theory and an extensive Table for one of them. One of the important contributions in Neyman (1934) is a discussion of the meaning of confidence interval estimation and its relationship with hypothesis testing which we will call the Neyman Approach. In Chapter 3 and following Neyman's Approach for simple random sampling (without replacement), we present an elementary development of exact confidence interval estimation of A as a response to the specific problem cited above. 452 pp. Englisch. Nº de ref. de la librería 9780387975153

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7.Exact Confidence Bounds when Sampling from Small Finite Universes : An Easy Reference Based on the Hypergeometric Distribution

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ISBN 10: 0387975152 ISBN 13: 9780387975153
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Descripción Springer, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9780387975153_lsuk

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8.Exact Confidence Bounds when Sampling from Small Finite Universes

Editorial: Springer Jul 1991 (1991)
ISBN 10: 0387975152 ISBN 13: 9780387975153
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Rheinberg-Buch
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Descripción Springer Jul 1991, 1991. Taschenbuch. Estado de conservación: Neu. 244x170x24 mm. Neuware - There is a very simple and fundamental concept to much of probability and statistics that can be conveyed using the following problem. PROBLEM. Assume a finite set (universe) of N units where A of the units have a particular attribute. The value of N is known while the value of A is unknown. If a proper subset (sample) of size n is selected randomly and a of the units in the subset are observed to have the particular attribute, what can be said about the unknown value of A The problem is not new and almost anyone can describe several situations where a particular problem could be presented in this setting. Some recent references with different focuses include Cochran (1977); Williams (1978); Hajek (1981); Stuart (1984); Cassel, Samdal, and Wretman (1977); and Johnson and Kotz (1977). We focus on confidence interval estimation of A. Several methods for exact confidence interval estimation of A exist (Buonaccorsi, 1987, and Peskun, 1990), and this volume presents the theory and an extensive Table for one of them. One of the important contributions in Neyman (1934) is a discussion of the meaning of confidence interval estimation and its relationship with hypothesis testing which we will call the Neyman Approach. In Chapter 3 and following Neyman's Approach for simple random sampling (without replacement), we present an elementary development of exact confidence interval estimation of A as a response to the specific problem cited above. 452 pp. Englisch. Nº de ref. de la librería 9780387975153

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9.Exact Confidence Bounds when Sampling from Small Finite Universes

Editorial: Springer Jul 1991 (1991)
ISBN 10: 0387975152 ISBN 13: 9780387975153
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Descripción Springer Jul 1991, 1991. Taschenbuch. Estado de conservación: Neu. 244x170x24 mm. Neuware - There is a very simple and fundamental concept to much of probability and statistics that can be conveyed using the following problem. PROBLEM. Assume a finite set (universe) of N units where A of the units have a particular attribute. The value of N is known while the value of A is unknown. If a proper subset (sample) of size n is selected randomly and a of the units in the subset are observed to have the particular attribute, what can be said about the unknown value of A The problem is not new and almost anyone can describe several situations where a particular problem could be presented in this setting. Some recent references with different focuses include Cochran (1977); Williams (1978); Hajek (1981); Stuart (1984); Cassel, Samdal, and Wretman (1977); and Johnson and Kotz (1977). We focus on confidence interval estimation of A. Several methods for exact confidence interval estimation of A exist (Buonaccorsi, 1987, and Peskun, 1990), and this volume presents the theory and an extensive Table for one of them. One of the important contributions in Neyman (1934) is a discussion of the meaning of confidence interval estimation and its relationship with hypothesis testing which we will call the Neyman Approach. In Chapter 3 and following Neyman's Approach for simple random sampling (without replacement), we present an elementary development of exact confidence interval estimation of A as a response to the specific problem cited above. 452 pp. Englisch. Nº de ref. de la librería 9780387975153

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10.Exact Confidence Bounds When Sampling from Small Finite Universes: v. 66

Editorial: Springer-Verlag New York Inc. (1991)
ISBN 10: 0387975152 ISBN 13: 9780387975153
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Descripción Springer-Verlag New York Inc., 1991. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería I2-9780387975153

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