Tabla de Contenidos: “…EZchip Architecture, Capabilities, and Applications; 10.1 General Description; 10.2 System Architecture; 10.3 Lookup Structures; 10.4 Counters, Statistics and Rate Control; 10.5 Traffic Management; 10.6 Stateful Classification; 10.7 Multicast Frames; 10.8 Data Flow; 10.9 Summary; Chapter 11. …”

Tabla de Contenidos: “…Video Enhancement and Restoration; 4.1 Introduction; 4.2 Spatiotemporal Noise Filtering; 4.2.1 Linear Filters; 4.2.2 Order-Statistic Filters; 4.2.3 Multiresolution Filters; 4.3 Coding Artifact Reduction; 4.3.1 Artifact Reduction in the Spatial Domain…”

Tabla de Contenidos: “…Steganalysis; Code Words; 17.1 Finding Hidden Messages; 17.2 Typical Approaches; 17.3 Visual Attacks; 17.4 Structural Attacks; 17.5 Statistical Attacks; 17.6 Summary; Afterword; Appendix A. …”

Tabla de Contenidos: “…Performance Tuning; 9.1 Methodology; 9.2 Storage subsystem; 9.3 Automatic Storage Management; 9.4 Cluster interconnect; 9.5 Interconnect transfer rate; 9.6 SQL*Net tuning; 9.7 SQL tuning; 9.8 Sequences and index contention; 9.9 Undo block considerations; 9.10 Load-balancing; 9.11 Resource availability; 9.12 Response time; 9.13 Oracle Wait Interface; 9.14 Server/database statistics; 9.15 Service-level metrics; 9.16 Identifying blockers across instances; 9.17 Identifying hot blocks; 9.18 Monitoring remastering…”

Tabla de Contenidos: “…Analyzing Liquidity Ratios -- Analyzing Activity Ratios -- PART II: FINANCIAL PLANNING AND CONTROL -- 8 Budgeting and Planning Cycle -- Creating Pro Forma Financial Statements -- Using Excel to Manage the Analysis -- Moving from the Pro Forma to the Budget -- 9 Forecasting and Projections -- Making Sure You Have a Useful Baseline -- Moving Average Forecasts -- Forecasting with Excel's Regression Functions -- Forecasting with Excel's Smoothing Functions -- Using the Box-Jenkins ARIMA Approach: When Excel's Built-In Functions Won't Do -- 10 Measuring Quality -- Monitoring Quality Through Statistical Process Control -- Performing Acceptance Sampling -- Using Worksheet Functions for Quality Control -- Sampling Units from a Nonfinite Population -- PART III: INVESTMENT DECISIONS -- 11 Examining a Business Case: Investment -- Developing a Business Case -- Developing the Excel Model -- 12 Examining Decision Criteria for a Business Case -- Understanding Payback Periods -- Understanding Future Value, Present Value, and Net Present Value -- 13 Creating a Sensitivity Analysis for a Business Case -- Reviewing the Business Case -- Managing Scenarios -- Measuring Profit -- Varying the Discount Rate Input -- Using the Goal Seek Tool -- 14 Planning Profits -- Understanding the Effects of Leverage -- Analyzing Operating Leverage -- Analyzing Financial Leverage -- 15 Making Investment Decisions Under Uncertain Conditions -- Using Standard Deviations -- Understanding Confidence Intervals -- Using Regression Analysis in Decision Making -- 16 Fixed Assets -- Determining Original Cost -- Depreciating Assets -- PART IV: SALES AND MARKETING -- 17 Importing Business Data into Excel -- Creating and Using ODBC Queries -- Working with External Data Ranges -- Creating and Using Web Queries -- Using Parameterized Web Queries -- 18 Exporting Business Data from Excel…”

Tabla de Contenidos: “…1.3 - Related Work1.4 - Analysis of Available Information Hiding Methods; 1.4.1 - Least Significant Bit; 1.4.2 - Phase Hiding Method; 1.4.3 - Echo Hiding Method; 1.4.4 - Hiding Method Based on Statistics; 1.4.5 - Transform Domain Method; 1.5 - Organization of This Book; Chapter 2 - The Information Hiding Model for Speech Secure Communication; 2.1 - Introduction and Motivation; 2.2 - Model of Information Hiding as a Communication Problem; 2.3 - Speech Information Hiding Model; 2.3.1 - Hiding Capacity; 2.3.2 - Security; 2.3.3 - Speech Quality; 2.3.3.1 - Uniform correlation coefficient ρ…”

Tabla de Contenidos: “…Cover; Title Page; Copyright Page; Table of Contents; List of contributors; Preface; Chapter 1 - ITSUMO: An Agent-Based Simulator for Intelligent Transportation Systems; 1.1 - Introduction and Motivation; 1.2 - Description of the Simulator; 1.2.1 - Microscopic Simulation Model and Simulation Kernel; 1.2.2 - Database Module; 1.2.3 - Output Module: Statistics and Visualization; 1.3 - Control: Traffic Light Agent Module; 1.3.1 - Greedy Traffic Light Agent; 1.3.2 - Reinforcement Learning-Based Methods; 1.3.3 - Swarm-Intelligence Inspired Signal Plan Choice; 1.4 - Demand…”

Tabla de Contenidos: “…Joseph An Overview of the Pathway Idea and Its Applications in Statistical and Physical Sciences Reprinted from: Axioms 2015, 4(4), 530-553; doi: 10.3390/axioms4040530 -- Yuri Luchko Entropy Production Rate of a One-Dimensional Alpha-Fractional Diffusion Process Reprinted from: Axioms 2016, 5(1), 6; doi: 10.3390/axioms5010006 -- Shanoja R. …”

Tabla de Contenidos: “…Fiscal revolution and statistical counter-revolution: a movement to close the data -- 3.2.2. …”

Tabla de Contenidos: “…Adjustments for Mortality Versus Incidence -- OVERVIEW OF THE SAB'S REPORT ON THE 2001 RISK ASSESSMENT -- Inorganic Arsenic As Principal Form of Arsenic Causing Health Effects -- Implications of Exposure to Natural Arsenic Through Food -- Health Advisory on Low-Arsenic Water and Infant Formula -- SAB's Comments on EPA's Interpretation of the NRC Report -- THE SUBCOMMITTEE'S EVALUATION -- Choice of End Point and Study -- Quantitative Risk Estimates -- BEIR IV -- Statistical Analyses and Dose-Response Modeling -- Model Choice -- Use of a Comparison Population -- Functional Form of Dose-Response Relationship -- Impact of Dietary Intake of Arsenic -- Impact of Variability in Drinking-Water Intake -- Effects of Exposure-Measurement Error -- Mortality Versus Incidence -- Calculated Risk Estimates -- SUMMARY AND CONCLUSIONS -- RECOMMENDATIONS -- REFERENCES -- 6 Hazard Assessment -- FINDINGS OF THE SUBCOMMITTEE -- COMPARISONS OF RESULTS OF DOSE-RESPONSE ASSESSMENTS -- Estimates of Effective Dose for a 1% Response: ED01 -- Cancer Risk Estimates -- PLAUSIBILITY OF CANCER RISK ESTIMATES -- SUMMARY AND CONCLUSIONS -- REFERENCES…”

Tabla de Contenidos: “…Hash Functions -- 8.1: The Origin of Hashing -- 8.2: Hash Tables -- 8.3: A Statistical Model for Hashing -- 8.4: The Likelihood of Collisions -- 9. …”

Tabla de Contenidos: “…Characteristic Testing: Key Measures of Consistency -- Model Creation -- PORTFOLIO CONSTRUCTION -- Data Collection -- Creating Security Weights -- Trade -- MONITORING -- Risk Management -- Performance Attribution -- CURRENT TRENDS -- KEY POINTS -- NOTES -- Quantitative Equity Portfolio Management -- TRADITIONAL AND QUANTITATIVE APPROACHES TO EQUITY PORTFOLIO MANAGEMENT -- FORECASTING STOCK RETURNS, RISKS, AND TRANSACTION COSTS -- Forecasting Returns -- Forecasting Risks -- Forecasting Transaction Costs -- CONSTRUCTING PORTFOLIOS -- TRADING -- EVALUATING RESULTS AND UPDATING THE PROCESS -- KEY POINTS -- REFERENCES -- Forecasting Stock Returns -- THE CONCEPT OF PREDICTABILITY -- Statistical Concepts of Predictability and Unpredictability -- A CLOSER LOOK AT PRICING MODELS -- PREDICTIVE RETURN MODELS -- Regressive Models -- Linear Autoregressive Models -- Dynamic Factor Models -- Hidden-Variable Models -- IS FORECASTING MARKETS WORTH THE EFFORT? …”

Tabla de Contenidos: “…Cover -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Understanding Functional Programming -- Identifying a paradigm -- Subdividing the procedural paradigm -- Using the functional paradigm -- Using a functional hybrid -- Looking at object creation -- The stack of turtles -- A classic example of functional programming -- Exploratory data analysis -- Summary -- Chapter 2: Introducing Essential Functional Concepts -- First-class functions -- Pure functions -- Higher-order functions -- Immutable data -- Strict and non-strict evaluation -- Recursion instead of an explicit loop state -- Functional type systems -- Familiar territory -- Learning some advanced concepts -- Summary -- Chapter 3: Functions, Iterators, and Generators -- Writing pure functions -- Functions as first-class objects -- Using strings -- Using tuples and named tuples -- Using generator expressions -- Exploring the limitations of generators -- Combining generator expressions -- Cleaning raw data with generator functions -- Using lists, dicts, and sets -- Using stateful mappings -- Using the bisect module to create a mapping -- Using stateful sets -- Summary -- Chapter 4: Working with Collections -- An overview of function varieties -- Working with iterables -- Parsing an XML file -- Parsing a file at a higher level -- Pairing up items from a sequence -- Using the iter() function explicitly -- Extending a simple loop -- Applying generator expressions to scalar functions -- Using any() and all() as reductions -- Using len() and sum() -- Using sums and counts for statistics -- Using zip() to structure and flatten sequences -- Unzipping a zipped sequence -- Flattening sequences -- Structuring flat sequences -- Structuring flat sequences - an alternative approach -- Using reversed() to change the order…”

Tabla de Contenidos: “…Laboratory Experiments -- Difficulties of Performing Laboratory Experiments -- Design of Laboratory Experiments -- Execution of Laboratory Experiments -- Strength and Weakness of Experiments -- Errors in Experiments -- Experimental Designs -- Basis of Experimental Design -- Basic Designs -- Statistical Designs -- Field Experiments -- Quasi-Experimental Designs -- Quasi-Experimental Designs -- A Comparison of The Two Quasi-Experimental Designs -- Use of Quasi-Experimental Designs -- Action Research -- Defining Action Research -- Process of Action Research -- Comparison of Action Research with Experiments -- Scientific Merits of Action Research -- Validity and Reliability of Experiments and Quasi-Experiments -- Concept of Validity and Reliability -- Validity in Experimentation and Quasi-Experimentation -- Validity of Quasi-Experimentation -- Sources of Invalidity of Experiments and Quasi-experiments -- Choice of Experimental Design -- Analysis Procedures Used in Experimental Design -- Summary -- Annexure 6.1-A Laboratory Experiment -- Annexure 6.2-A Randomised Two-Group Experiment -- Annexure 6.3-Solomon Four-Group Design -- Annexure 6.4-Factorial Design -- Annexure 6.5-Randomised Block Design -- Annexure 6.6-An Action Research Case -- Suggested Readings -- Questions and Exercises -- Chapter 7: Ex Post Facto Research -- Introduction -- Ex Post Facto Research by Objective -- Exploratory Research -- Historical Research -- Descriptive Research -- Ex Post Facto Research by Nature of Study -- Field Studies -- Survey Research -- Qualitative Research Methods -- Case Study Research -- Participant Observation -- Ethnographic Methods -- Critical Incident Technique -- Repertory Grid Technique (RGT) -- Some Additional Qualitative Research Methods -- Triangulation -- Analysis Procedures for Qualitative Data -- Evaluation Research -- Outcome Evaluation…”

Tabla de Contenidos: “…PARIS21 and the Palestinian Central Bureau of Statistics -- What are the strengths of PARIS21?…”

Tabla de Contenidos: “…Getting and releasing semaphores -- Read/Write Semaphores -- Completions -- Local Interrupt Disabling -- Disabling and Enabling Deferrable Functions -- Synchronizing Accesses to Kernel Data Structures -- Choosing Among Spin Locks, Semaphores, and Interrupt Disabling -- Protecting a data structure accessed by exceptions -- Protecting a data structure accessed by interrupts -- Protecting a data structure accessed by deferrable functions -- Protecting a data structure accessed by exceptions and interrupts -- Protecting a data structure accessed by exceptions and deferrable functions -- Protecting a data structure accessed by interrupts and deferrable functions -- Protecting a data structure accessed by exceptions, interrupts, and deferrable functions -- Examples of Race Condition Prevention -- Reference Counters -- The Big Kernel Lock -- Memory Descriptor Read/Write Semaphore -- Slab Cache List Semaphore -- Inode Semaphore -- Timing Measurements -- Clock and Timer Circuits -- Real Time Clock (RTC) -- Time Stamp Counter (TSC) -- Programmable Interval Timer (PIT) -- CPU Local Timer -- High Precision Event Timer (HPET) -- ACPI Power Management Timer -- The Linux Timekeeping Architecture -- Data Structures of the Timekeeping Architecture -- The timer object -- The jiffies variable -- The xtime variable -- Timekeeping Architecture in Uniprocessor Systems -- Initialization phase -- The timer interrupt handler -- Timekeeping Architecture in Multiprocessor Systems -- Initialization phase -- The global timer interrupt handler -- The local timer interrupt handler -- Updating the Time and Date -- Updating System Statistics -- Updating Local CPU Statistics -- Keeping Track of System Load -- Profiling the Kernel Code -- Checking the NMI Watchdogs -- Software Timers and Delay Functions -- Dynamic Timers -- Dynamic timers and race conditions…”

Tabla de Contenidos: “…6.7.2 Optimal Thresholding -- 6.7.3 Threshold Selection Based on Boundary Characteristics -- 6.7.4 Use of Motion in Segmentation -- 6.8 Accumulative Difference Image -- Summary -- Review Questions -- Chapter 7: Image Restoration -- 7.1 Introduction -- 7.2 Degradation Model -- 7.3 Degradation Model for Continuous Functions -- 7.4 Discrete Degradation Model -- 7.5 Estimation of Degradation Function -- 7.6 Estimation by Experimentation -- 7.7 Estimation by Modeling -- 7.8 Inverse Filtering Approach -- 7.9 Least Mean Square Filter -- 7.10 Interactive Restoration -- 7.11 Constrained Least Squares Restoration -- 7.11.1 Geometric Transformations -- 7.11.2 Spatial Transformations -- 7.11.3 Gray Level Interpolation -- Summary -- Review Questions -- Chapter 8: Image Representation and Description -- 8.1 Introduction -- 8.2 Boundary Representation Using Chain Codes -- 8.3 Boundary Representation Using Line Segments -- 8.4 Boundary Representation Using Signature -- 8.5 Shape Number -- 8.6 Fourier Descriptors -- 8.7 Moments -- 8.8 Region Representation -- 8.8.1 Run-Length Codes -- 8.8.2 Quad Tree -- 8.8.3 Skeletons -- 8.9 Regional Descriptors -- 8.10 Topological Descriptors -- 8.11 Texture -- 8.11.1 Statistical Approach -- 8.11.2 Structural Approach -- 8.12 Relational Descriptors -- Summary -- Review Questions -- Chapter 9: Pattern Classification Methods -- 9.1 Introduction -- 9.2 Statistical Pattern Classification Methods -- 9.2.1 Supervised and Unsupervised Learning Methods -- 9.2.2 Parametric Approaches -- 9.2.3 Nonparametric Approaches -- 9.2.4 Deterministic Trainable Classification Algorithms -- 9.3 Artificial Intelligence Approach in Pattern Classification -- 9.4 ANN Approaches in Pattern Classification -- 9.4.1 Backpropagation Training Algorithm for MLP Classifier -- 9.4.2 Experimentation With MLP Classifier -- 9.4.3 Classification of Mechanical Components…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1 - Understanding the Basics of Who, What, and Why -- Chapter 1: SRE Job Role - Activities and Responsibilities -- Making this journey personal -- SRE driving forces -- SRE skills -- SRE traits -- Understanding the mindset and hobbies of an SRE -- SRE affinity game -- SRE guiding principles -- SRE hobbies -- DevOps engineers versus SRE versus others -- DevOps and site reliability engineers -- Software and site reliability engineers -- Describing an SRE's main responsibilities -- An overview of the daily activities of an SRE -- People that inspire -- Jeremy's recognition - Paul Tyma, former CTO, LendingTree -- Rod's recognition - Ingo Averdunk, Distinguished Engineer, IBM, and Gene Brown, Distinguished Engineer, Kyndryl -- Summary -- Further reading -- Chapter 2: Fundamental Numbers - Reliability Statistics -- SLA commitment - a conversation, not a number -- Internal partner SLAs -- External partner SLAs -- The cost of more 9s in an SLA -- A final word on SLAs -- Defining and leveraging SLOs and SLIs -- SLOs -- SLOs and time -- Tracking outage frequency with the MTBF -- Measuring the downtime with the MTTR -- Understanding the customer and revenue impact -- Transparency in outages -- The rockstar SRE's SLA -- Summary -- Chapter 3: Imperfect Habits - Duct Tape Architecture and Spaghetti Code -- The business of software development - let's start with the dollars -- Defining the "value" of software to a business -- The value of protecting business -- The value of growing a business -- The value of saving labor costs -- The A/B testing mindset - the art of change in customer interaction -- A/B testing in customer flows -- Analyzing the results of A/B testing -- Leveraging A/B testing to satisfy quarterly numbers…”

Tabla de Contenidos: “…Agglomeration benefits in innovation and production networks -- Notes -- 3 Women-led firms in international trade -- Issue -- Exporting by entrepreneurs and gender export gaps -- Impact of the COVID-19 pandemic -- Challenges accessing international markets -- Policies to support women business leaders in trade -- Applying a gender lens to trade agreements -- Ensuring market access for goods and services produced and consumed by women and their businesses -- Implementing trade-facilitating measures -- Ensuring inclusive access to the Internet and digital spaces -- Ensuring trade promotion services reach women exporters and cater to their needs -- Providing adequate finance, including trade finance and promoting financial literacy -- Ensuring professional and business networks are inclusive of women -- Closing data gaps -- References -- Annex 3.A. Descriptive statistics of Future of Business Survey sample -- Notes -- 4 SMEs in more resilient, sustainable and circular supply chains -- Introduction and background -- Issue: Challenges and opportunities for SMEs in existing and emerging GVCs -- SMEs can benefit from global integration -- SMEs are well placed to support the deployment of circular and sustainable models -- SMEs face challenges in leveraging opportunities from GVC integration -- Recent shocks and structural changes in GVCs -- Global supply chains are increasingly exposed -- FDI has also been affected -- Threats to GVCs are increasing in magnitude and frequency…”

Tabla de Contenidos: “…-- Culture and skills -- Resources, skills and culture -- Conclusions and recommendations -- References -- Annex 3.A. Statistical analyses -- Notes -- 4 The Dutch evidence journey in curriculum revision -- Introduction -- Main characteristics of the Dutch educational system -- The knowledge infrastructure: Actors and roles -- The case of curriculum revision -- The use of knowledge and evidence: A Quality Use of Research perspective -- Analytical framework -- System-level influences -- Leadership, culture and infrastructure -- Skillsets and mindsets -- Appropriate research evidence…”