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Record Nr. |
UNINA9910450947003321 |
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Autore |
Thompson Robert H. <1947-> |
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Titolo |
The offsite [[electronic resource] ] : a leadership challenge fable / / Robert H. Thompson |
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Pubbl/distr/stampa |
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San Francisco, CA, : Jossey-Bass, c2008 |
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ISBN |
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1-281-23730-2 |
9786611237301 |
0-470-22913-6 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (205 p.) |
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Collana |
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J-B Leadership Challenge: Kouzes/Posner ; ; v.130 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Leadership |
Management |
Electronic books. |
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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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"Foreword by Jim Kouzes". |
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Nota di contenuto |
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The Offsite: A Leadership Challenge Fable; Contents; Foreword; Introduction; Part One: Arrivals; Chapter 1: The Revolution Begins; Chapter 2: I'm Perfect; You're Perfect; Chapter 3: The Lone Stranger; Chapter 4: The Games Begin; Part Two: Connections; Chapter 5: Yoda Is My Gardener; Chapter 6: Light My Fire; Chapter 7: Suck or Succeed; Chapter 8: Pyramids Amid Denial; Part Three: Sessions; Chapter 9: It's No Secret; Chapter 10: A Grenade for Your Thoughts; Chapter 11: The Perfect Fall; Chapter 12: Practice Makes Perfect; Chapter 13: Burn Baby Burn; Chapter 14: To Dream, Perhaps |
Chapter 15: Our Never-Ending StoryChapter 16: A Rope; A Hope; Chapter 17: Fire Away!; Chapter 18: The Brainstory; Chapter 19: Embrace the Struggle; Chapter 20: What's Real Matters!; Part Four: Separate Ways; Chapter 21: Success Is Assured; Chapter 22: The Perfect Choice; Acknowledgments (Gratitude); The Author |
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Sommario/riassunto |
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Drawing on the leadership theories in the management classic The Leadership Challenge, Robert Thompson effortlessly incorporates these ideas into a fable of leadership and growth. Based on a company's three-day offsite meeting, we follow this tale of transition through the |
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eyes of two former rival pharmaceutical companies creating a joint sales strategy. The characters ultimately learn how to adopt the five practises that form the Leadership Challenge:Model the WayInspire a Shared VisionChallenge the ProcessEnable Others to ActEncourage the Heart. T |
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2. |
Record Nr. |
UNINA9910458157803321 |
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Autore |
Miller Scott L |
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Titolo |
Probability and random processes [[electronic resource] ] : with applications to signal processing and communications / / Scott L. Miller, Donald Childers |
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Pubbl/distr/stampa |
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Waltham, Mass., : Elsevier, 2012 |
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ISBN |
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1-283-41027-3 |
9786613410276 |
0-12-387013-5 |
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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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Soggetti |
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Signal processing - Mathematics |
Probabilities |
Stochastic processes |
Electronic books. |
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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 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: |
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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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