“…Among these approaches are algorithms for the quantification of synchrony by cross-correlational statistics, surrogate control procedures, recurrence mapping and network models. …”

Tabla de Contenidos: “…Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- About the Author -- 1 The Climate for Invention -- Definitions -- Patent Statistics -- The Change in Education -- The Change in Industry -- The Change in People -- Why Invent? …”

“…Bales takes his 20+ years of experience and a wealth of statistics he's gathered on PL/SQL usage over those years and applies the 80/20 rule: cover what's most needed and used by PL/SQL professionals and avoid what's not necessary! …”

“…A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. …”

“…You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services and Azure Machine Learning Services when loading data, how to explore your data by asking questions in plain English ... and more! …”

“…Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. …”

“…The authors, experts in secondhand smoke exposure and toxicology, clinical cardiology, epidemiology, and statistics, find that there is about a 25 to 30 percent increase in the risk of coronary heart disease from exposure to secondhand smoke. …”

Tabla de Contenidos: “…The consequences of the corona pandemic on the dual training market in the light of vocational training statistics and the vocational training policy reaction -- Learning place cooperation in Corona times - revival or standstill? …”

Tabla de Contenidos: “…Preventing Drug Abuse -- Copyright -- Contents -- Preface -- Executive Summary -- 1 Illicit Drug Use in the United States -- DIAGNOSING DRUG PROBLEMS -- The Individual Perspective -- Age-Related Characteristics -- Sequence and Progression of Drug Involvement -- Consequences -- The Community Perspective -- TRENDS IN DRUG USE -- Population Survey Results -- Validity and Reliability of Survey Data -- DAWN Data -- Data on Treatment Demand -- Drug Abuse and AIDS -- Criminal Justice Statistics -- Reasons for the Decline in the General Population -- DISAGGREGATION OF SPECIAL POPULATIONS -- Age -- Race and Ethnicity -- Socioeconomic and Economic Factors -- SUMMARY -- 2 Concepts of Prevention -- INTRODUCTION -- The Risk Factor Approach -- The Developmental Approach -- Social Influence Approaches -- The Community-Specific Approach -- STUDIES OF RISK AND VULNERABILITY -- Genetic and Congenital Predispositions -- Personality Characteristics -- Socioeconomic Factors at the Neighborhood Level -- Relationships Among Risk Factors -- Research Needs -- THE DEVELOPMENTAL APPROACH -- A Model of Progressive Problem Behavior -- Taking the Model Seriously: Reforming the School -- Research Needs -- SOCIAL INFLUENCE AND SOCIAL LEARNING -- Research Needs -- SUMMARY -- 3 Evaluating Prevention Program Effects -- META-ANALYSES OF PREVENTION INTERVENTIONS -- Tobler I -- Tobler II -- Other Meta-Analyses -- Summary -- THREE PROGRAMS MEETING TOBLER'S CRITERIA -- Life Skills Training Program -- The Cognitive-Behavioral Approach -- The Napa Drug Abuse Prevention Project -- DO LARGE-SCALE SOCIAL INFLUENCE PROGRAMS WORK? …”

“…"In recent years, the digitization of legal texts and developments in the fields of statistics, computer science, and data analytics have opened entirely new approaches to the study of law. …”

“…He explains how speakers can deliver: * Language the audience will understand and remember, * Anecdotes that make listeners laugh and cry, * Wit that pokes fun at opponents but also shows their own lighter side, and * Support in the way of statistics, examples, and testimony. With how-to guidance in each chapter-including annotated speeches-Lehrman shows how to apply the LAWS at every step, even providing an entire chapter on delivery. …”

Tabla de Contenidos: “…Front Cover -- Contents -- Foreword -- Preface -- Acknowledgments -- About the Authors -- Abbreviations -- Overview -- Introduction -- Better Policy Environment for More Inclusive GVCs -- Investment in Expanding the Statistical Basis and Technical Analysis of Participation in GVCs -- Chapter 1 Setting the Scene -- Introduction -- GVCs and Opportunities for Low-Income Countries -- Importance of SMEs -- References -- Chapter 2 Stylized Facts on SMEs in GVCs -- Informality of the Economy: A Binding Constraint -- Participation in GVCs: Direct Insertion -- Suppliers of Large Local and Multinational Firms: Indirect Insertion -- Links between MNE Investments and SME Performance -- Note -- References -- Chapter 3 Participation of SMEs and Low-Income Countries in GVCs: Determinants and Challenges -- Introduction -- Internal Determinants of SME Participation and Upgrading in GVCs -- External Determinants of SME Participation in GVCs -- Notes -- References -- Chapter 4 Policies to Promote the Participation of SMEs and Low-Income Countries in GVCs -- Introduction -- Furthering International Trade Openness -- Ensuring That the Benefits of Openness Reach beyond Large Firms and the G20 to SMEs and Low-Income Countries -- Investing in Expanding the Statistical Basis and Technical Analysis of Participation in GVCs -- Note -- References -- Boxes -- Box 1.1 Understanding the Drivers of GVCs -- Box 1.2 Key Take-Away Messages from Chapter 1 -- Box 2.1 Key Take-Away Messages from Chapter 2 -- Box 3.1 The World Bank's Work to Strengthen Developing Countries' Ability to Meet International Product and Process Standards -- Box 3.2 Implementing a Single-Window System in Lao PDR -- Box 3.3 WTO Agreement on Trade Facilitation -- Box 3.4 The Exporta Fácil Program in Latin America -- Box 3.5 Trade and Investment Barriers: The Case of LCRs Affecting Renewable Energy…”

Tabla de Contenidos: “…Common SQL functi -- Part 5:Data Science And Wrangling -- Chapter 11: Descriptive Statistics with SQL -- Calculating descriptive statistics with SQL -- Mean -- Median -- Mode -- Standard deviation -- Variance -- Variability -- Summary -- In the next chapter, we will learn how SQL can be used for time series analysis. -- Chapter 12: Time Series with SQL -- Running totals -- Case scenario -- Lead and lag for time series analysis -- Case scenario -- Key KPIs -- Percentage change -- Case scenario -- Key KPIs -- Moving averages -- Case scenario -- Key KPIs…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Foreword -- Preface -- Acknowledgments -- About the Author -- Chapter 1 The Current State -- Why Demand Management Matters More Than Ever -- The One-Number Forecast -- Forecast by Exception -- Fitting Demand to Supply versus Fitting Supply to Demand -- Lack of Statistical Skills (People) -- Accountability for the Unconstrained Demand Forecast -- Current Challenges and Opportunities -- Primary Obstacles to Achieving Demand Management Planning Goals -- Why Do Companies Continue to Dismiss the Value of Demand Management? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Quantifying Learning Algorithms -- Statistical models -- Learning curve -- Machine learning -- Wright's model -- Curve fitting -- Residual -- Statistical modeling - the two cultures of Leo Breiman -- Training data development data - test data -- Size of the training, development, and test set -- Bias-variance trade off -- Regularization -- Ridge regression (L2) -- Least absolute shrinkage and selection operator -- Cross-validation and model selection -- K-fold cross-validation -- Model selection using cross-validation -- 0.632 rule in bootstrapping -- Model evaluation -- Confusion matrix -- Receiver operating characteristic curve -- Area under ROC -- H-measure -- Dimensionality reduction -- Summary -- Chapter 2: Evaluating Kernel Learning -- Introduction to vectors -- Magnitude of the vector -- Dot product -- Linear separability -- Hyperplanes -- SVM -- Support vector -- Kernel trick -- Kernel -- Back to Kernel trick -- Kernel types -- Linear kernel -- Polynomial kernel -- Gaussian kernel -- SVM example and parameter optimization through grid search -- Summary -- Chapter 3: Performance in Ensemble Learning -- What is ensemble learning? …”

Tabla de Contenidos: “…Lists, Vectors, and Higher-Order Functions; Étude 3-1: Move the Zeros; Étude 3-2: More List Manipulation; Étude 3-3: Basic Statistics…”

Tabla de Contenidos: “…-- Security Principles: Detection -- Security Principles: Limitations -- What NSM Is Not -- NSM in Action -- Conclusion -- Chapter 3 Deployment Considerations -- Threat Models and Monitoring Zones -- Accessing Traffic in Each Zone -- Wireless Monitoring -- Sensor Architecture -- Sensor Management -- Conclusion -- PART II: NETWORK SECURITY MONITORING PRODUCTS -- Chapter 4 The Reference Intrusion Model -- The Scenario -- The Attack -- Conclusion -- Chapter 5 Full Content Data -- A Note on Software -- Libpcap -- Tcpdump -- Tethereal -- Snort as Packet Logger -- Finding Specific Parts of Packets with Tcpdump, Tethereal, and Snort -- Ethereal -- A Note on Commercial Full Content Collection Options -- Conclusion -- Chapter 6 Additional Data Analysis -- Editcap and Mergecap -- Tcpslice -- Tcpreplay -- Tcpflow -- Ngrep -- IPsumdump -- Etherape -- Netdude -- P0f -- Conclusion -- Chapter 7 Session Data -- Forms of Session Data -- Cisco's NetFlow -- Fprobe -- Ng_netflow -- Flow-tools -- sFlow and sFlow Toolkit -- Argus -- Tcptrace -- Conclusion -- Chapter 8 Statistical Data -- What Is Statistical Data? -- Cisco Accounting -- Ipcad -- Ifstat -- Bmon -- Trafshow -- Ttt -- Tcpdstat -- MRTG -- Ntop -- Conclusion…”

Tabla de Contenidos: “…Advanced Modelling in Finance using Excel and VBA; Contents; Preface; Acknowledgements; 1 Introduction; 1.1 Finance insights; 1.2 Asset price assumptions; 1.3 Mathematical and statistical problems; 1.4 Numerical methods; 1.5 Excel solutions; 1.6 Topics covered; 1.7 Related Excel workbooks; 1.8 Comments and suggestions; Part One Advanced Modelling in Excel; 2 Advanced Excel functions and procedures; 2.1 Accessing functions in Excel; 2.2 Mathematical functions; 2.3 Statistical functions; 2.3.1 Using the frequency function; 2.3.2 Using the quartile function; 2.3.3 Using Excel's normal functions…”

Tabla de Contenidos: “…. -- 5 Generic Multiuser Detection and Statistical Physics <Dongning Guo and Toshiyuki Tanaka). -- 5.1 Introduction. -- 5.2 Generic Multiuser Detection. -- 5.3 Main Results: Single-User Characterization. -- 5.4 The Replica Analysis of Generic Multiuser Detection. -- 5.5 Further Discussion. -- 5.6 Statistical Physics and the Replica Method. -- 5.7 Interference Cancellation. -- 5.8 Concluding Remarks. -- 5.9 Acknowledgments. -- References. -- 6 Joint Detection for Multi-Antenna Channels (Antonia Tulino, Matthew R. …”