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Record Nr. |
UNINA9911102263003321 |
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Autore |
Davies John A |
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Titolo |
A royal priesthood : literary and intertextual perspectives on an image of Israel in Exodus 19.6 / / John A. Davies |
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Pubbl/distr/stampa |
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London ; ; New York, : T & T Clark International, c2004 |
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ISBN |
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9786611803216 |
9781281803214 |
1281803219 |
9780826430717 |
0826430716 |
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Descrizione fisica |
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1 online resource (305 p.) |
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Collana |
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Journal for the study of the Old Testament. Supplement series ; ; 395 |
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Disciplina |
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Soggetti |
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People of God - Biblical teaching |
Priesthood, Universal |
Covenant theology - Biblical teaching |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Originally presented as the author's thesis (doctoral--University of Sydney). |
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Nota di bibliografia |
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Includes bibliographical references (p. [243]-270) and indexes. |
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Nota di contenuto |
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Contents; Preface; Abbreviations; Chapter 1 INTRODUCTION; Chapter 2 OLD AND NEW IN LITERARY CRITICISM: METHODOLOGIES IN THE INTERPRETATION OF EXODUS 19.6; Chapter 3 THE ROYAL PRIESTHOOD IN ITS IMMEDIATE COTEXT: EXODUS 19.1-8; Chapter 4 THE GRANT OF ROYAL PRIESTHOOD TO ISRAEL: EXODUS 19.6; Chapter 5 THE ROYAL PRIESTHOOD IN THE EXODUS NARRATIVE FRAMEWORK: EXODUS 1.1 TO 24.11; Chapter 6 MODELLING THE ROYAL PRIESTHOOD: THE CULTIC MODEL OF EXODUS 24.12 TO 40.38; Chapter 7 THE SINAI COVENANT AS GRANT OF ROYAL PRIESTHOOD; Chapter 8 THE TESTING OF THE ROYAL PRIESTHOOD: NUMBERS 16 |
Chapter 9 THE ROYAL PRIESTHOOD IN JEOPARDY: HOSEA 4.4-9Chapter 10 REASSURANCE OF ROYAL PRIESTHOOD: TWO INTERTEXTUAL STUDIES; Chapter 11 THE PROSPECT OF THE ROYAL PRIESTHOOD: ISAIAH 61.6; Chapter 12 THE PINNACLE OF ROYAL PRIESTHOOD-ACCESS TO THE HEAVENLY COURT: ZECHARIAH 3; Chapter 13 CONCLUSION; Bibliography; Index of References; Index of Authors |
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Sommario/riassunto |
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This book examines the portrayal of Israel as a royal-priestly nation within Exodus and against the background of biblical and ancient Near Eastern thought. Central to the work is a literary study of Exodus 19:4-6 and a demonstration of the pivotal role these verses and their main image have within Exodus. This elective and honorific designation of Yahweh's cherished people has a particular focus on the privilege of access to him in his heavenly temple. The paradigm of the royal grant of privileged status has profound implications for our understanding of the Sinai covenant. |
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2. |
Record Nr. |
UNINA9911154527203321 |
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Autore |
Miller Scott L |
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Titolo |
Probability and random processes : with applications to signal processing and communications / / Scott L. Miller, Donald Childers |
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Pubbl/distr/stampa |
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Elsevier Science & Technology, 2012 |
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ISBN |
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9786613410276 |
9781283410274 |
1283410273 |
9780123870131 |
0123870135 |
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Edizione |
[Ed. 2.] |
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Descrizione fisica |
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1 online resource (625 p.) |
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Altri autori (Persone) |
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Disciplina |
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621.382/20151 |
621.38220151 |
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Soggetti |
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Signal processing - Mathematics |
Probabilities |
Stochastic processes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; Probability and Random Processes: With Applications to Signal Processingand Communications; Copyright; Contents; Preface; Chapter 1: Introduction; 1.1 A Speech Recognition System; 1.2 A Radar System; 1.3 A Communication Network; Chapter 2: Introduction to Probability Theory; 2.1 Experiments, Sample Spaces, and Events; 2.2 |
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Axioms of Probability; 2.3 Assigning Probabilities; 2.4 Joint and Conditional Probabilities; 2.5 Basic Combinatorics; 2.6 Bayes's Theorem; 2.7 Independence; 2.8 Discrete Random Variables; 2.9 Engineering Application-An Optical Communication System; Exercises |
Section 2.1: Experiments, Sample Spaces, and EventsSection 2.2: Axioms of Probability; Section 2.3: Assigning Probabilities; Section 2.4: Joint and Conditional Probabilities; Section 2.5: Basic Combinatorics; Section 2.6: Bayes's Theorem; Section 2.7: Independence; Section 2.8: Discrete Random Variables; Miscellaneous Problems; MATLAB Exercises; Chapter 3: Random Variables, Distributions,and Density Functions; 3.1 The Cumulative Distribution Function; 3.2 The Probability Density Function; 3.3 The Gaussian Random Variable; 3.4 Other Important Random Variables; 3.4.1 Uniform Random Variable |
3.4.2 Exponential Random Variable3.4.3 Laplace Random Variable; 3.4.4 Gamma Random Variable; 3.4.5 Erlang Random Variable; 3.4.6 Chi-Squared Random Variable; 3.4.7 Rayleigh Random Variable; 3.4.8 Rician Random Variable; 3.4.9 Cauchy Random Variable; 3.5 Conditional Distribution and Density Functions; 3.6 Engineering Application: Reliability and Failure Rates; Exercises; Section 3.1: The Cumulative Distribution Function; Section 3.2: The Probability Density Function; Section 3.3: The Gaussian Random Variable; Section 3.4: Other Important Random Variables |
Section 3.5: Conditional Distribution and Density FunctionsSection 3.6: Reliability and Failure Rates; Miscellaneous Exercises; MATLAB Exercises; Chapter 4: Operations on a Single Random Variable; 4.1 Expected Value of a Random Variable; 4.2 Expected Values of Functions of Random Variables; 4.3 Moments; 4.4 Central Moments; 4.5 Conditional Expected Values; 4.6 Transformations of Random Variables; 4.6.1 Monotonically Increasing Functions; 4.6.2 Monotonically Decreasing Functions; 4.6.3 Nonmonotonic Functions; 4.7. Characteristic Functions; 4.8. Probability-Generating Functions |
4.9 Moment-Generating Functions4.10 Evaluating Tail Probabilities; 4.11 Engineering Application-Scalar Quantization; 4.12 Engineering Application-Entropy and Source Coding; Exercises; Section 4.1: Expected Values of a Random Variable; Section 4.2: Expected Values of Functions of a Random Variable; Section 4.3: Moments; Section 4.4: Central Moments; Section 4.5: Conditional Expected Values; Section 4.6: Transformations of Random Variables; Section 4.7: Characteristic Functions; Section 4.8: Probability-Generating Functions; Section 4.9: Moment-Generating Functions |
Section 4.10: Evaluating Tail Probabilities |
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Sommario/riassunto |
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Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communicat |
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