Author: Various Authors,
Publisher: Zondervan
ISBN: 0310294142
Category : Bibles
Languages : en
Pages : 6793
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Book Description
The NIV is the world's best-selling modern translation, with over 150 million copies in print since its first full publication in 1978. This highly accurate and smooth-reading version of the Bible in modern English has the largest library of printed and electronic support material of any modern translation.
Author:
Publisher: Canongate Books
ISBN: 0857861018
Category : Bibles
Languages : en
Pages : 60
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Book Description
The final book of the Bible, Revelation prophesies the ultimate judgement of mankind in a series of allegorical visions, grisly images and numerological predictions. According to these, empires will fall, the "Beast" will be destroyed and Christ will rule a new Jerusalem. With an introduction by Will Self.
Author:
Publisher: Grove/Atlantic, Inc.
ISBN: 9780802136107
Category : Bible
Languages : en
Pages : 146
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Book Description
Hailed as "the most radical repackaging of the Bible since Gutenberg", these Pocket Canons give an up-close look at each book of the Bible.
Author: Zondervan
Publisher:
ISBN: 9780310432128
Category : Bible
Languages : en
Pages : 0
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Book Description
The NIV Study Bible is the #1 bestselling study Bible in the world's most popular modern English Bible translation. This best-loved Bible features a stunning four-color interior with photographs, maps, charts, and illustrations. One look inside this white Italian Duo-Tone(TM) edition reveals why this Bible is a favorite for over 9 million people.
Author: Akansha Mishra
Publisher: Springer Nature
ISBN: 9811569983
Category : Technology & Engineering
Languages : en
Pages : 276
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Book Description
This book introduces readers to the fundamentals of transportation problems under the fuzzy environment and its extensions. It also discusses the limitations and drawbacks of (1) recently proposed aggregation operators under the fuzzy environment and its various extensions; (2) recently proposed methods for solving transportation problems under the fuzzy environment; and (3) recently proposed methods for solving transportation problems under the intuitionistic fuzzy environment. In turn, the book proposes simplified methods to overcome these limitations.
Author:
Publisher: Arihant Publications India limited
ISBN: 9325798743
Category :
Languages : en
Pages :
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Book Description
Author: United States. Bureau of the Census
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 854
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Book Description
Author:
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 492
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Book Description
Author: United States. Administrative Office of the United States Courts
Publisher:
ISBN:
Category :
Languages : en
Pages : 1148
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Book Description
Author: Tommy Wright
Publisher: Springer Science & Business Media
ISBN: 146123140X
Category : Mathematics
Languages : en
Pages : 446
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Book Description
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.
