Tabla de Contenidos: “…INITIATION: SHAPING AND AUTHORISING THE PROJECT; 3.1 WHAT YOU CAN LEARN FROM THIS CHAPTER; 3.2 OVERVIEW; 3.3 DETERMINING SCOPE; 3.4 SCOPING WORKSHOPS; 3.5 STUDYING COSTS AND FEASIBILITY; 3.6 ESTABLISHING PROJECT PHASES; 3.7 THE EXECUTIVE SPONSOR; 3.8 PROJECT INITIATION OR TERMS OF REFERENCE; 3.9 LAUNCH EVENTS; 3.10 CHAPTER SUMMARY; 3.11 REFERENCES; 3.12 FURTHER READING; 4. …”

Tabla de Contenidos: “…3.5 Rituale, Feiertage und Jubiläen3.6 Jahreszeiten; 3.7 Mein Thema in verschiedenen Ländern; 3.8 Farben, Gerüche und Laute; 3.9 Innere Aussagen und Gefühle - Kleine Momente im Alltag mit Bedeutung; 3.10 Zitate und Sprüche; 3.11 Aufgeschnappt unterwegs; 3.12 Vergangenheit: Ein Moment, der Ihr Leben verändert hat; 3.13 Zukunft. …”

Tabla de Contenidos: “…Cover; Titel; Impressum; Inhaltsverzeichnis; Einleitung; Kapitel 1: Der Quickstart; Kapitel 2: I Go Pro - Die Entscheidungshilfe; 2.1 Wesentliche Gemeinsamkeiten; 2.2 HERO; 2.3 HD HERO4 Silver Edition; 2.4 HD HERO4 Black Edition; 2.5 HD HERO3+, 3 und 2; 2.6 Systemwechsel; Kapitel 3: GoPro-Tools; 3.1 Halterungen; 3.2 Stative; 3.3 Speicherkarten; 3.4 Akkus, Battery BacPac und Ladegeräte; 3.5 Gehäuse; 3.6 Spezialfilter; 3.7 Audio - Die Erste: externe Mikrofone; 3.8 GoPro-App, WLAN-Remote Control und LCD-BacPac; 3.9 Aufbewahrung; Kapitel 4: Die fantastischen Vier - Die Grundmodi in der Anwendung…”

Tabla de Contenidos: “…2.3 Adjacency List Representation2.4 Vector Clock Representation; 2.5 Matrix Representation; 2.6 Dimension-Based Representation; 2.7 Algorithms to Compute Irreducibles; 2.8 Infinite Posets; 2.9 Problems; 2.10 Bibliographic Remarks; Chapter 3: Dilworth's Theorem; 3.1 Introduction; 3.2 Dilworth's Theorem; 3.3 Appreciation of Dilworth's Theorem; 3.4 Dual of Dilworth's Theorem; 3.5 Generalizations of Dilworth's Theorem; 3.6 Algorithmic Perspective of Dilworth's Theorem; 3.7 Application: Hall's Marriage Theorem; 3.8 Application: Bipartite Matching; 3.9 Online Decomposition of posets…”

Tabla de Contenidos: “…Machine generated contents note: 1 The Concept of Probability 5 1.1 Chance experiments--sample spaces 6 1.2 Operations between events 16 1.3 Probability as relative frequency 35 1.4 Axiomatic definition of probability 48 1.5 Properties of probability 57 1.6 The continuity property of probability 66 1.7 Basic concepts and formulae 75 1.8 Mathematica 76 1.9 Self-assessment exercises 78 1.10 Review problems 82 1.11 Applications 89 2 Finite Sample Spaces--Combinatorial Methods 97 2.1 Finite sample spaces with events of equal probability 98 2.2 Main principles of counting 109 2.3 Permutations 117 2.4 Combinations 128 2.5 The Binomial Theorem 148 2.6 Basic concepts and formulae 159 2.7 Mathematica 161 2.8 Self-assessment exercises 168 2.9 Review problems 173 2.10 Applications 182 3 Conditional Probability--Independent Events 187 3.1 Conditional probability 188 3.2 The multiplicative law of probability 203 3.3 The law of total probability 213 3.4 Bayes' formula 222 3.5 Independent events 229 3.6 Basic concepts and formulae 251 3.7 Mathematica exercises 252 3.8 Self-assessment exercises 256 3.9 Review problems 261 3.10 Applications 271 4 Discrete Random Variables and Distributions 277 4.1 Random variables 278 4.2 Distribution functions 285 4.3 Discrete random variables 302 4.4 Expectation of a discrete random variable 318 4.5 Variance of discrete random variables 340 4.6 Other useful results for the expectation and the variance 353 4.7 Basic concepts and formulae 364 4.8 Mathematica 365 4.9 Self-assessment exercises 372 4.10 Review problems 377 5 The Most Important Discrete Distributions 385 5.1 Bernoulli trials and the binomial distribution 386 5.2 The geometric and the negative binomial distribution 404 5.3 The hypergeometric distribution 428 5.4 The Poisson distribution 443 5.5 The Poisson process 459 5.6 Basic concepts and formulae (or Glossary and new formulae??) …”

Tabla de Contenidos: “…2.9 Sales Management and Distribution Channels2.9.1 Agents and Producers; 2.9.2 Distribution Management; Notes; Chapter 3: Managing Financial Risk Across the Insur ance Enterprise; 3.1 Solvency II; 3.2 Solvency II, Cloud Computing and Shared Services; 3.3 'Sweating the Assets'; 3.4 Solvency II and IFRS; 3.5 The Changing Role of the CRO; 3.6 CRO as Customer Advocate; 3.7 Analytics and the Challenge of Unpredictability; 3.8 The Importance of Reinsurance; 3.9 Risk Adjusted Decision-Making; Notes; Chapter 4: Underwriting; 4.1 Underwriting and Big Data; 4.2 Underwriting for Specialist Lines…”

Tabla de Contenidos: “…Introduction -- 1 Walmart: How Big Data Is Used To Drive Supermarket Performance -- 2 CERN: Unravelling the Secrets of the Universe with Big Data -- 3 Netflix: How Netflix Used Big Data to Give Us the Programmes We Want -- 4 Rolls-Royce: How Big Data Is Used To Drive Success In Manufacturing -- 5 Shell: How Big Oil Uses Big Data -- 6 Apixio: How Big Data Is Transforming Healthcare -- 7 Lotus F1 Team: How Big Data Is Essential To The Success Of Motorsport Teams -- 8 Pendleton & Son Butchers: Big Data for Small Business -- 9 US Olympic Women's Cycling Team: How Big Data Analytics Is Used To Optimize Athletes' Performance -- 10 ZSL: Big Data In The Zoo And To Protect Animals -- 11 Facebook: How Facebook Use Big Data to Understand Customers -- 12 John Deere: How Big Data Can Be Applied On Farms -- 13 Royal Bank of Scotland: Using Big Data to Make Customer Service More Personal -- 14 LinkedIn: How Big Data Is Used To Fuel Social Media Success -- 15 Microsoft: Bringing Big Data To The Masses -- 16 Acxiom: Fuelling Marketing With Big Data -- 17 US Immigration and Customs: How Big Data Is Used To Keep Passengers Safe and Prevent Terrorism -- 18 Nest: Bringing the Internet of Things into The Home -- 19 GE: How Big Data Is Fuelling the Industrial Internet -- 20 Etsy: How Big Data Is Used In A Crafty Way -- 21 Narrative Science: How Big Data Is Used To Tell Stories -- 22 BBC: How Big Data Is Used In The Media -- 23 Milton Keynes: How Big Data Is Used To Create Smarter Cities -- 24 Palantir: How Big Data Is Used To Help The CIA And To Detect Bombs In Afghanistan -- 25 Airbnb: How Big Data Is Used To Disrupt the Hospitality Industry -- 26 Sprint: Profiling Audiences Using Mobile Network Data -- 27 Dickey's Barbecue Pit: How Big Data Is Used to Gain Performance Insights Into One Of America's Most Successful Restaurant Chains -- 28 Caesars: Big Data At The Casino -- 29 Fitbit: Big Data In The Personal Fitness Arena -- 30 Ralph Lauren: Big Data In The Fashion Industry -- 31 Zynga: Big Data In The Gaming Industry -- 32 Autodesk: How Big Data Is Transforming The Software Industry -- 33 Walt Disney Parks and Resorts: How Big Data Is Transforming Our Family Holidays -- 34 Experian: Using Big Data To Make Lending Decisions And To Crack Down On Identity Fraud -- 35 Transport for London: How Big Data Is Used To Improve And Manage Public Transport In London -- 36 The US Government: Using Big Data To Run A Country -- 37 IBM Watson: Teaching Computers To Understand And Learn -- 38 Google: How Big Data Is At The Heart Of Google's Business Model -- 39 Terra Seismic: Using Big Data To Predict Earthquakes -- 40 Apple: How Big Data Is At The Centre Of Their Business -- 41 Twitter: How Twitter And IBM Deliver Customer Insights From Big Data -- 42 Uber: How Big Data Is At The Centre Of Uber's Transportation Business -- 43 Electronic Arts: Big Data In Video Gaming -- 44 Kaggle: Crowdsourcing Your Data Scientist -- 45 Amazon: How Predictive Analytics Are Used To Get A 360-Degree View Of Consumers -- Final Thoughts -- About the Author -- Acknowledgements -- Index…”

Tabla de Contenidos: “…3.3 The Median3.4 The Mode; 3.5 The Range; 3.6 The Standard Deviation; 3.7 Relative Variation; 3.8 Skewness; 3.9 Quantiles; 3.10 Kurtosis; 3.11 Detection of Outliers; 3.12 So What Do We Do with All This Stuff?…”

Tabla de Contenidos: “…3.6 Example to illustrate the use of various models3.7 Generation of correlated fading channels; 3.8 Summary; 3.9 Additional reading; Problems; References; Chapter 4: Digital Modulation; 4.1 Introduction; 4.2 Signals and signal space; 4.3 Optimal MAP and ML receivers; 4.4 Detection of two arbitrary waveforms; 4.5 MPSK; 4.6 M-ary QAM; 4.7 Noncoherent scheme-differential MPSK; 4.8 MFSK; 4.9 Noncoherent MFSK; 4.10 Bit error probability versus symbol error probability; 4.11 Spectral efficiency; 4.12 Summary of symbol error probability for various schemes; 4.13 Additional reading; Problems…”

Tabla de Contenidos: “…Visit to a Riverine Town (Figs. 39-42 and 44); III.3.2.7. SHI Section VII: An Episode at Napata (Figs. 43-45); III.3.2.8. …”

Tabla de Contenidos: “…Conté: "Tomo II / que contiene lo acaecido desde el / mes de Septiembre de 1757. hasta fin de / Diciembre del mismo año." (pàgina 39) Mapa que representa las immediaciones de Breslavia capital de Silecia / Escala de 2 leguas españolas / Ignatius Valls sculp. …”

Tabla de Contenidos: “…3.1 Preventative Measures for Information Security Managers3.2 Information Security Preventative Controls; 3.3 Other Preventative Controls; 3.4 Summary of Existing Emergency Procedures; 3.5 Key Personnel for Handling Emergency Procedures; 3.6 External Emergency Services; 3.7 Premises Issues; 3.8 Chapter Summary; 3.9 Endnotes; Chapter 4. Preparing for a Possible Emergency; 4.1 Backup and Recovery Procedures; 4.2 IT Systems Recovery; 4.3 Key BCP Personnel and Supplies; 4.4 Key Documents and Procedures; 4.5 Chapter Summary; 4.6 Endnotes; Chapter 5. …”

Tabla de Contenidos: “…The Television Performance Environment; 3.1 Introduction; 3.2 The Television Studio; 3.3 The Television Production Crew; 3.4 Television Terminology; 3.5 Camera Panic; 3.6 Working With a Camera; 3.7 Communicating in the Studio: The IFB, Hand Signals, Cue Cards, and Prompters; 3.8 Makeup; 3.9 Conclusion; Self-Study; Questions; Answers; Projects; Project 1 Practice Camera Performance; Project 2 Practice Taking Hand Signals in the Television Studio; Project 3 Record a Movie Review Utilizing a Teleprompter Script…”

Tabla de Contenidos: “…3.3 Effective segmentation3.4 Segmentation bases in consumer product markets; 3.5 Segmentation in organisational product markets; 3.6 Assessing and selecting market segments; 3.7 Product/service positioning strategies; 3.8 Consumer buyer behaviour; 3.9 Organisational buying behaviour; 4 Advertising, promotion and public relations; 4.1 Introduction; 4.2 Marketing communications overview; 4.3 Elements of marketing communications; 4.4 Message source; 4.5 Advertising; 4.6 Sales promotion; 4.7 Public relations (PR); 5 Selling and sales management; 5.1 The nature of selling…”

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Tabla de Contenidos: “…3.7 Maxterms on the Karnaugh map3.8 Simplificaion of Boolean functions; 3.9 The inverse function; 3.10 'Don't care' terms; 3.11 Simplification of products of maxterms; 3.12 The Quine-McCluskey tablar simplification method; 3.13 Properties of prime implicant tables; 3.14 Cyclic prime implicant tables; 3.15 Semi-cyclic prime implicant tables; 3.16 Quine-McCluskey simplification of functions containing 'don't care' terms; 3.17 Decimal approach to Quine-McCluskey simplification of Boolean functions; 3.18 Multiple output circuits; 3.19 Tabular methods for multiple output functions…”

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Tabla de Contenidos: “…Part IV Your investment property38 Negative gearing; 39 Interest; 40 Depreciation; 41 Low-value pooling; 42 Repairs and maintenance; 43 Travel to see your investment property; 44 Borrowing expenses; 45 Legal expenses; 46 Other rental property deductions; 47 Foreign investment properties; 48 Capital gains tax; 49 PAYG withholding variation; 50 Property genuinely available for rent; Part V Your shares; 51 Dividends; 52 Franking credits; 53 Dividend reinvestment plans; 54 Lower income earners; 55 Borrowing to buy shares; 56 Other allowable deductions; Ongoing management fees; Travel expenses…”

Tabla de Contenidos: “…2.20 Removal of Duplicate Records2.21 A Word About Id Fields; THE R ZONE; References; Exercises; Hands-On Analysis; 3 Exploratory Data Analysis; 3.1 Hypothesis Testing Versus Exploratory Data Analysis; 3.2 Getting to Know the Data Set; 3.3 Exploring Categorical Variables; 3.4 Exploring Numeric Variables; 3.5 Exploring Multivariate Relationships; 3.6 Selecting Interesting Subsets of the Data for Further Investigation; 3.7 Using EDA to Uncover Anomalous Fields; 3.8 Binning Based on Predictive Value; 3.9 Deriving New Variables: Flag Variables; 3.10 Deriving New Variables: Numerical Variables…”

Tabla de Contenidos: “…Britta Konz und Caterina Rohde-Abuba 1 Einleitung..................................................................................................... 7 Britta Konz 2 Methodologischer Zugang und methodisches Vorgehen.......................... 19 2.1 Theoretische Rahmungen in der sozialkonstruktivistischen Kindheitstheorie und Kinder- und Jugendtheologie ............................. 20 2.2 Sample ................................................................................................. 21 2.3 Forschungssetting und geschützte Gesprächsatmosphäre ...................... 23 2.4 Interviewleitfaden und erzählungsgenerierende Gesprächstechniken .... 24 2.5 Feldzugang und Datenerhebung .......................................................... 27 2.6 Datenanalyse ........................................................................................ 29 Perspektive der Kinder Caterina Rohde-Abuba 3 Religiöse Identitätsbildungsprozesse von Kindern und Jugendlichen mit Fluchterfahrung zwischen Zugehörigkeit, Abgrenzung und Rassismus....................................................................... 33 3.1 Einleitung ............................................................................................ 33 3.2 Zugehörigkeit und Grenzziehung als soziale Praktiken ......................... 35 3.3 Zur Bedeutung religiöser Zugehörigkeit für den Umgang mit Anderen ....37 3.4 Religiöse Differenzen in intragenerationalen Beziehungen .................... 39 3.5 Das Kopftuch als intergenerationales "stigmata of otherness" ............... 46 3.6 Fazit ..................................................................................................... 50 Britta Konz 4 "Gott macht mich mutig." …”