Tabla de Contenidos: “…1 Basic data analysis -- R programming conventions -- Generation of random numbers and patterns -- Random numbers -- Patterns -- Case study: distribution diagnostics -- Distribution functions -- Histograms -- Barcharts -- Statistics of distribution functions; Kolmogorov-Smirnov tests -- Monte Carlo confidence bands -- Statistics of histograms and related plots; X2-tests -- Moments and quantiles -- R complements -- Random numbers -- Graphical comparisons -- Functions -- Enhancing graphical displays -- R internals -- parse -- eval -- print -- Executing files -- Packages -- Statistical summary -- Literature and additional references -- 2 Regression -- General regression model -- Linear model -- Factors -- Least squares estimation -- Regression diagnostics -- More examples for linear models -- Model formulae -- Gauss-Markov estimator and residuals -- Variance decomposition and analysis of variance -- Simultaneous inference -- Scheff́e's confidence bands -- Tukey's confidence intervals -- Case study: titre plates -- Beyond linear regression -- Transformations -- Generalised linear models -- Local regression -- R complements -- Discretisation -- External data -- Testing software -- R data types -- Classes and polymorphic functions -- Extractor functions -- Statistical summary -- Literature and additional references --…”

Tabla de Contenidos: “…Stability IssuesCalibration Frequency; Stochastic Volatility; Stochastic Volatility Processes; GARCH and Diffusion Limits; The Pricing PDE under Stochastic Volatility; The Market Price of Volatility Risk; The Two-Factor PDE; The Generalized Fourier Transform; The Transform Technique; Special Cases; The Mixing Solution; The Romano Touzi Approach; A One-Factor Monte-Carlo Technique; The Long-Term Asymptotic Case; The Deterministic Case; The Stochastic Case; A Series Expansion on Volatility-of-Volatility; Local Volatility Stochastic Volatility Models; Stochastic Implied Volatility…”

Tabla de Contenidos: “…Nonlinear Formulation -- Solving Nonlinear Regression Model -- Estimating Parameters -- Nonlinear least squares (Non-OLS) -- Hypothesis Testing -- Evaluate Model Performance -- Sampling Techniques -- Random Sampling -- Sampling With Replacement -- Sampling Without Replacement -- Monte Carlo Simulation -- Bootstrapping Techniques -- Jackknife Sampling Techniques -- Chapter 9. …”

Tabla de Contenidos: “…Representation of UncertaintyCurrent Measurement; Life Cycle Measurement; Tree Representations; Monte Carlo Simulation; Decision-Making Under Uncertainty; Risk Aversion; Time Preference; Sensitivity Analysis; Measurement and Decision Making; Flexible Strategies; Worked Example; Introduction; Basis for Measurement; System Boundaries and Assumptions; Framing the Life Cycle Model; Data; Method of Measurement: Deterministic Analysis; Method of Measurement: Probabilistic Analysis; Results: Deterministic Analysis; Results: Probabilistic Analysis; Sensitivity Analysis; Conclusions; References…”

Tabla de Contenidos: “…7.8 Minimal Sufficiency and Ancillary Statistics -- 7.9 Sufficiency, Completeness, and Independence -- 8 Optimal Tests of Hypotheses -- 8.1 Most Powerful Tests -- 8.2 Uniformly Most Powerful Tests -- 8.3 Likelihood Ratio Tests -- 8.3.1 Likelihood Ratio Tests for Testing Means of Normal Distributions -- 8.3.2 Likelihood Ratio Tests for Testing Variances of Normal Distributions -- 8.4 *The Sequential Probability Ratio Test -- 8.5 *Minimax and Classification Procedures -- 8.5.1 Minimax Procedures -- 8.5.2 Classification -- 9 Inferences About Normal Linear Models -- 9.1 Introduction -- 9.2 One-Way ANOVA -- 9.3 Noncentral χ2 and F-Distributions -- 9.4 Multiple Comparisons -- 9.5 Two-Way ANOVA -- 9.5.1 Interaction Between Factors -- 9.6 A Regression Problem -- 9.6.1 Maximum Likelihood Estimates -- 9.6.2 *Geometry of the Least Squares Fit -- 9.7 A Test of Independence -- 9.8 The Distributions of Certain Quadratic Forms -- 9.9 The Independence of Certain Quadratic Forms -- 10 Nonparametric and Robust Statistics -- 10.1 Location Models -- 10.2 Sample Median and the Sign Test -- 10.2.1 Asymptotic Relative Efficiency -- 10.2.2 Estimating Equations Based on the Sign Test -- 10.2.3 Confidence Interval for the Median -- 10.3 Signed-Rank Wilcoxon -- 10.3.1 Asymptotic Relative Efficiency -- 10.3.2 Estimating Equations Based on Signed-Rank Wilcoxon -- 10.3.3 Confidence Interval for the Median -- 10.3.4 Monte Carlo Investigation -- 10.4 Mann-Whitney-Wilcoxon Procedure -- 10.4.1 Asymptotic Relative Efficiency -- 10.4.2 Estimating Equations Based on the Mann-Whitney- Wilcoxon -- 10.4.3 Confidence Interval for the Shift Parameter Δ -- 10.4.4 Monte Carlo Investigation of Power -- 10.5 *General Rank Scores -- 10.5.1 Efficacy -- 10.5.2 Estimating Equations Based on General Scores -- 10.5.3 Optimization: Best Estimates -- 10.6 *Adaptive Procedures -- 10.7 Simple Linear Model…”

“…The third part of the book looks at theoretical concepts that are able to describe important aspects of the simulation system; for example, under certain conditions the code becomes a Monte Carlo engine sampling from a discrete choice model. …”

Tabla de Contenidos: “…Towards a better estimation of the global energy efficiency market 24 -Summary 24 -Energy Efficiency Market Report 2014: Approach to evaluating the energy efficiency market 24 -Savings generated by energy efficiency: The market’s output 25 -Energy efficiency: Still the first fuel 26 -Estimating investment in the energy efficiency market 28 --Method 1: Estimate using gross capital formation 29 --Method 2: Estimate based on changes in energy intensity30 --Method 3: Estimate based on the Long-term Industrial Energy Forecast (LIEF) model 31 --Method 4: Estimate based on a Monte Carlo simulation 31 --Method 5: Estimate based on leveraging 32 --Method 6: Estimate based on the World Energy Investment Outlook 33 -Conclusion: Towards improved market valuations 33 -References 34 2. …”

Tabla de Contenidos: “…Physics -- Gravitational Wave Signals from Simulations of Black Hole Dynamics -- The SuperN-Project: Understanding Core Collapse Supernovae -- MHD Code Optimizations and Jets in Dense Gaseous Halos -- Anomalous Water Optical Absorption: Large-Scale First-Principles Simulations -- The Electronic Structures of Nanosystems: Calculating the Ground States of Sodium Nanoclusters and the Actuation of Carbon Nanotubes -- Object-Oriented SPH-Simulations with Surface Tension -- Simulations of Particle Suspensions at the Institute for Computational Physics -- Solid State Physics -- Nano-Systems in External Fields and Reduced Geometry: Numerical Investigations -- Signal Transport and Finite Bias Conductance in and Through Correlated Nanostructures -- Atomistic Simulations of Dislocation — Crack Interaction -- Monte Carlo Simulations of Strongly Correlated and Frustrated Quantum Systems -- Chemistry -- Characterization of Catalyst Surfaces by STM Image Calculations -- Theoretical Investigation of the Self-Diffusion on Au(100) -- TrpAQP: Computer Simulations to Determine the Selectivity of Aquaporins -- Computational Fluid Dynamics -- Direct Numerical Simulation and Analysis of the Flow Field Around a Swept Laminar Separation Bubble -- Direct Numerical Simulation of Primary Breakup Phenomena in Liquid Sheets -- Direct Numerical Simulation of Mixing and Chemical Reactions in a Round Jet into a Crossflow — a Benchmark -- Numerical Simulation of the Bursting of a Laminar Separation Bubble -- Parallel Large Eddy Simulation with UG -- LES and DNS of Melt Flow and Heat Transfer in Czochralski Crystal Growth -- Efficient Implementation of Nonlinear Deconvolution Methods for Implicit Large-Eddy Simulation -- Large-Eddy Simulation of Tundish Flow -- Large Eddy Simulation of Open-Channel Flow Over Spheres -- Prediction of the Resonance Characteristics of Combustion Chambers on the Basis of Large-Eddy Simulation -- Investigations of Flow and Species Transport in Packed Beds by Lattice Boltzmann Simulations -- Rheological Properties of Binary and Ternary Amphiphilic Fluid Mixtures -- The Effects of Vortex Generator Arrays on Heat Transfer and Flow Field -- Investigation of the Influence of the Inlet Geometry on the Flow in a Swirl Burner -- Numerical Investigation and Simulation of Transition Effects in Hypersonic Intake Flows -- Aeroelastic Simulations of Isolated Rotors Using Weak Fluid-Structure Coupling -- Computational Study of the Aeroelastic Equilibrium Configuration of a Swept Wind Tunnel Wing Model in Subsonic Flow -- Structural Mechanics -- Numerical Prediction of the Residual Stress State after Shot Peening -- Computer-Aided Destruction of Complex Structures by Blasting -- Wave Propagation in Automotive Structures Induced by Impact Events -- Miscellaneous Topics -- Continental Growth and Thermal Convection in the Earth’s Mantle -- Efficient Satellite Based Geopotential Recovery -- Molecular Modeling of Hydrogen Bonding Fluids: Monomethylamine, Dimethylamine, and Water Revised -- The Application of a Black-Box Solver with Error Estimate to Different Systems of PDEs -- Scalable Parallel Suffix Array Construction…”

Tabla de Contenidos: “…Financial Modeling with Crystal Ball and Excel; Contents; Preface; Acknowledgments; About the Author; CHAPTER 1 Introduction; 1.1 FINANCIAL MODELING; 1.2 RISK ANALYSIS; 1.3 MONTE CARLO SIMULATION; 1.4 RISK MANAGEMENT; 1.5 BENEFITS AND LIMITATIONS OF USING CRYSTAL BALL; 1.5.1 Benefits; 1.5.2 Limitations; CHAPTER 2 Analyzing Crystal Ball Forecasts; 2.1 SIMULATING A 50-50 PORTFOLIO; 2.1.1 Accumulate.xls; 2.1.2 Frequency Chart; 2.1.3 Cumulative Frequency Chart; 2.1.4 Statistics View; 2.1.5 Forecast Window Percentiles View; 2.2 VARYING THE ALLOCATIONS; 2.2.1 Decision Table Tool; 2.2.2 Trend Chart…”

Tabla de Contenidos: “…Setting up the software and connecting -- Troubleshooting -- Calibrating and getting readings -- Calibration code -- The calibration process -- Always face North behavior -- CircuitPython code for the face North behavior -- Troubleshooting -- Making a known turn behavior -- Summary -- Exercises -- Further reading -- Chapter 13: Determining Position Using Monte Carlo Localization -- Technical requirements -- Creating a training area for our robot -- What we will make -- How we will make the arena -- Tips for cutting -- Modeling the space -- Representing the arena and robot position as numbers -- Serving the arena from the robot -- The Bleak library -- Creating a Bluetooth LE wrapper library -- Showing the robot's data on the computer screen -- Using sensors to track relative pose -- Setting up poses -- Displaying poses -- Moving with collision avoidance -- Moving poses with the encoders -- Pose movement probabilities -- Monte Carlo localization -- Generating pose weights from a position -- Resampling the poses -- Incorporating distance sensors -- Tuning and improving the Monte Carlo model -- Summary -- Exercises -- Further reading -- Chapter 14: Continuing Your Journey - Your Next Robot -- Technical requirements -- A summary of what you have learned in this book -- Basic robotics with Raspberry Pi Pico -- Extending a Raspberry Pi Pico robot with sensors -- Writing CircuitPython behavior code for Raspberry Pi Pico -- Planning to extend this robot -- Sensors you could add -- Interacting with the robot -- Chassis and form enhancements -- Electronics enhancements -- Outputs you could add -- Extending the code and behaviors -- Planning your next robot -- Form, shape, and chassis -- Electronics and sensors -- Code and behavior -- Further suggested areas to learn about -- Electronics -- Design and manufacturing -- Robotic competitions and communities…”

Tabla de Contenidos: “…Message creationInference with approximate messages; Sum-product expectation propagation; Belief update propagation; Sampling-based approximate methods; Forward sampling; Conditional probability distribution; Likelihood weighting and importance sampling; Importance sampling; Importance sampling in Bayesian networks; Computing marginal probabilities; Ratio likelihood weighting; Normalized likelihood weighting; Markov chain Monte Carlo methods; Gibbs sampling; Markov chains; The multiple transitioning model; Using a Markov chain; Collapsed particles; Collapsed importance sampling; Summary…”

Tabla de Contenidos: “…MEASUREMENT AS REDUCTION IN UNCERTAINTYMEASUREMENT AS EXPRESSIONS OF UNCERTAINTY; BUT WE DON'T HAVE ENOUGH DATA...AND NEITHER DOES ANYONE ELSE; CALIBRATION; EQUIVALENT BET TEST; Chapter 6 - Analysis Process; THE TOOLS NECESSARY TO APPLY THE FAIR RISK MODEL; HOW TO APPLY THE FAIR RISK MODEL; PROCESS FLOW; SCENARIO BUILDING; THE ANALYSIS SCOPE; EXPERT ESTIMATION AND PERT; MONTE CARLO ENGINE; LEVELS OF ABSTRACTION; Chapter 7 - Interpreting Results; WHAT DO THESE NUMBERS MEAN? …”

Tabla de Contenidos: “…Execution-Time Software Reliability ModelsSoftware Reliability Prediction Tools Prior to Testing; References; 4 Reliability Models; Introduction; Reliability Block Diagram: System Modeling; Example of System Reliability Models Using RBDs; Reliability Growth Model; Similarity Analysis and Categories of a Physical Model; Monte Carlo Models; Markov Models; References; 5 Design Failure Modes, Effects, and Criticality Analysis; Introduction to FMEA and FMECA; Design FMECA; Principles of FMECA-MA; Design FMECA Approaches; Example of a Design FMECA Process; Risk Priority Number; Final Thoughts…”

Tabla de Contenidos: “…COMMERCIAL LOAN SYNDICATIONSUMMARY; QUESTIONS; CHAPTER 8 Credit Risk Mitigation; OVERVIEW; INSURANCE CONTRACTS; CREDIT DERIVATIVES AND RISK MITIGATION; CREDIT DEFAULT SWAP MECHANICS; CREDIT-LINKED NOTE MECHANICS; COLLATERALIZED DEBT OBLIGATION MECHANICS; CREDIT HEDGING OUTCOMES; SUMMARY; QUESTIONS; CHAPTER 9 Interest Rate Risk; OVERVIEW OF SIFIBANK'S INTEREST RATE RISK EXPOSURE; Duration Models; Extensions of the Duration Model; PRINCIPAL COMPONENTS ANALYSIS; ANALYTIC VAR MEASUREMENT OF INTEREST RATE RISK; MONTE CARLO VAR INTEREST RATE RISK METHODS…”

Tabla de Contenidos:

Tabla de Contenidos: “…Risk Model Implementation-Step by StepRisk Model Implementation Checklists; Further Risk Models and Implementation Details from Historical to Parametric and Monte Carlo Based Approaches; Chapter 8: Introducing Performance Measurement; The Role of Performance Measurement; Performance Measurement; Performance Attribution; Performance Using Risk Adjusted Return on Capital; Investment Performance Management; Chapter 9: Implementing Performance Models; Performance Measurement Implementation: Step by Step; Performance Measurement Implementation Checklists; Further Performance Measurement Models…”

Tabla de Contenidos: “…Thermodynamic Basis of Phase Transformations; 2.1 Reversible and Irreversible Thermodynamics; 2.2 Solution Thermodynamics; Chapter 3. Monte Carlo Potts Model; 3.1 Introduction; 3.2 Two-State Potts Model (Ising Model); 3.3 Q-State Potts Model; 3.4 Speed-Up Algorithms…”

Tabla de Contenidos: “…Statistics Basics; 3.1 Basic Concepts; 3.2 Markov Chain Monte Carlo; 3.3 The Normal Distribution; Chapter 4. …”

Tabla de Contenidos: “…; Gordon Moore and Endless Innovation; Potential Pitfall: Unrealistic Expectations; Chapter 6: Getting That Cash Flow; Potential Pitfall-The All High-Dividend Portfolio; Homegrown Dividends; How Much Do You Need?; The 10% Myth; Monte Carlo-Not Just a Casino; Let''s Get Bootstrapping; Chapter 7: Can I Get There?…”

Tabla de Contenidos: “…Chapter 18: Context Steering : Behavior-Driven Steering at the Macro ScaleChapter 19: Guide to Anticipatory Collision Avoidance; Chapter 20: Hierarchical Architecture for Group Navigation Behaviors; Chapter 21: Dynamic Obstacle Navigation in Fuse; Chapter 22: Introduction to Search for Games; Chapter 23: Personality Reinforced Search for Mobile Strategy Games; Chapter 24: Interest Search : A Faster Minimax; Chapter 25: Monte Carlo Tree Search and Related Algorithms for Games; Chapter 26: Rolling Your Own Finite-Domain Constraint Solver…”