Zoekresultaten - "exponentiation"

Exponential distribution theory and methods / door Ahsanullah, M. (Mohammad)

Inhoudsopgave: “…Order statistics -- Record values -- Generalized order statistics -- Characterizations of exponential distribution based on order statistics -- Characterizations of exponential distribution based on record values.…”
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Information and exponential families : in statistical theory / door Barndorff-Nielsen, O.

Onderwerpen: “…Exponential families (Statistics)…”
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Character sums with exponential functions and their applications door Koni͡agin, S. V. (Sergeĭ Vladimirovich)

Onderwerpen: “…Exponential sums.…”
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Green's functions and ordered exponentials door Fried, H. M. (Herbert Martin)

Onderwerpen: “…Exponential functions.…”
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Exponentially dichotomous operators and applications door Mee, C. V. M. van der (Cornelis Victor Maria)

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The role of mathematics in science door Schiffer, Menahem

Onderwerpen: “…Exponential functions.…”
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Finite Difference Computing with Exponential Decay Models door Langtangen, Hans Petter

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Exponential random graph models for social networks theories, methods, and applications /

Inhoudsopgave: “…Machine generated contents note: Introduction Dean Lusher, Johan Koskinen and Garry Robins; 1. What are exponential random graph models Garry Robins and Dean Lusher; 2. …”
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The secrets of word-of-mouth marketing how to trigger exponential sales through runaway word of mouth / door Silverman, George, 1942-

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Population, city and environment in contemporary Mexico /

Inhoudsopgave: “…Four scenarios for the population of Mexico for the late 21st century constructed through an expo (exponential) function /…”
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Mathematics for secondary school teachers door Bremigan, Elizabeth G.

Inhoudsopgave: “…Functions -- Lines in the plane -- Quadratic polynomials -- Trigonometry -- Hyperbolic trigonometry -- Numbers -- Operations in number systems -- Topics in number systems -- Exponentiation -- Exponential and logarithmic functions: history, computation, and application -- Transcendental functions and complex numbers -- Beyond quadratics: higher degree polynomials -- Measurement.…”
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Lie groups a problem-oriented introduction via matrix groups / door Pollatsek, Harriet Suzanne Katcher

Inhoudsopgave: “…One-parameter subgroups and the exponential map -- 5. Lie algebras -- 6. Matrix groups over other fields.…”
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Bridging the information gap : legislative member organizations as social networks in the United States and the European Union / door Ringe, Nils

Inhoudsopgave: “…Survey questions -- Appendix B. Exponential random graph models.…”
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Mantle convection for geologists door Davies, Geoffrey F. (Geoffrey Frederick)

Inhoudsopgave: “…Assimilating mantle convection into geology; Appendix A. Exponential growth and decay; Appendix B. Thermal evolution details; Appendix C. …”
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How invention begins echoes of old voices in the rise of new machines / door Lienhard, John H., 1930-

Inhoudsopgave: “…Inventing steam: "Alles was Odem hat" -- From steam to steam engine -- From steam engine to thermodynamics -- Inventing speed -- Inventive motivation and exponential change -- Writing and showing. Inventing Gutenberg -- From Gutenberg to a newly literate world: gestation to cradle to maturation -- Inventing means for illustrating reality -- Fast presses, cheap books, and ghosts of old readers -- Views through a wider lens. …”
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Demand forecasting for managers / door Kolassa, Stephan, Siemsen, Enno

Inhoudsopgave: “…Forecasting models -- 6. Exponential smoothing -- 7. ARIMA models -- 8. Causal models and leading indicators -- 9. …”
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Stochastics of Environmental and Financial Economics Centre of Advanced Study, Oslo, Norway, 2014-2015 /

Inhoudsopgave: “…Path-dependent Kolmogorov equations associated with the frame of a Brownian motion -- Nonlinear Young integrals via fractional calculus -- A weak limit theorem for numerical approximation of Brownian semi-stationary processes -- Non-elliptic SPDEs and ambit fields: existence of densities -- Dynamic risk measures and path-dependent second order PDEs -- Pricing CoCos with a market trigger -- Quantification of model risk in quadratic hedging in finance -- Risk-sensitive mean-field type control under partial observation -- Risk aversion in modeling of cap-and-trade mechanism and optimal design of emission markets -- Exponential ergodicity of the jump-diffusion CIR process -- Optimal control of predictive mean-field equations and applications to finance -- Modelling the impact of wind power production on electricity prices by regime-switching Levy semistationary processes -- Pricing options on EU ETS certificates with a time-varying market price of risk model.…”
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College algebra : special equations, functions, and logarithms / door Ji, Xiang, Mu, Ge

Inhoudsopgave: “…Using exponents and logarithms in algebraic expressions -- 4.1 Exponential functions -- 4.2 Logarithms -- 4.3 Logarithmic functions -- Index.…”
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Mixed models theory and applications with R / door Demidenko, Eugene, 1948-

Inhoudsopgave: “…331.16 Software and books361.17 Summary points 372 MLE for LME Model 412.1 Example: Weight versus height 422.2 The model and log-likelihood functions 452.3 Balanced random-coefficient model 602.4 LME model with random intercepts 642.5 Criterion for the MLE existence 722.6 Criterion for positive definiteness of matrix D742.7 Preestimation bounds for variance parameters 772.8 Maximization algorithms792.9 Derivatives of the log-likelihood function 812.10 Newton--Raphson algorithm 832.11 Fisher scoring algorithm852.12 EM algorithm 882.13 Starting point 932.14 Algorithms for restricted MLE 962.15 Optimization on nonnegative definite matrices 972.16 lmeFS and lme in R 1082.17 Appendix: Proof of the MLE existence 1122.18 Summary points 1153 Statistical Properties of the LME Model 1193.1 Introduction 1193.2 Identifiability of the LMEmodel 1193.3 Information matrix for variance parameters 1223.4 Profile-likelihood confidence intervals 1333.5 Statistical testing of the presence of random effects 1353.6 Statistical properties of MLE 1393.7 Estimation of random effects 1483.8 Hypothesis and membership testing 1533.9 Ignoring random effects 1573.10 MINQUE for variance parameters 1603.11 Method of moments 1693.12 Variance least squares estimator 1733.13 Projection on D+ space 1783.14 Comparison of the variance parameter estimation 1783.15 Asymptotically efficient estimation for [beta] 1823.16 Summary points 1834 Growth Curve Model and Generalizations 1874.1 Linear growth curve model 1874.2 General linear growth curve model 2034.3 Linear model with linear covariance structure 2214.4 Robust linear mixed effects model 2354.5 Appendix: Derivation of the MM estimator 2434.6 Summary points 2445 Meta-analysis Model 2475.1 Simple meta-analysis model 2485.2 Meta-analysis model with covariates 2755.3 Multivariate meta-analysis model 2805.4 Summary points 2916 Nonlinear Marginal Model 2936.1 Fixed matrix of random effects 2946.2 Varied matrix of random effects 3076.3 Three types of nonlinear marginal models 3186.4 Total generalized estimating equations approach 3236.5 Summary points 3307 Generalized Linear Mixed Models 3337.1 Regression models for binary data 3347.2 Binary model with subject-specific intercept 3577.3 Logistic regression with random intercept 3647.4 Probit model with random intercept 3847.5 Poisson model with random intercept 3887.6 Random intercept model: overview 4037.7 Mixed models with multiple random effects 4047.8 GLMM and simulation methods 4137.9 GEE for clustered marginal GLM 4187.10 Criteria for MLE existence for binary model 4267.11 Summary points 4318 Nonlinear Mixed Effects Model 4358.1 Introduction 4358.2 The model 4368.3 Example: Height of girls and boys 4398.4 Maximum likelihood estimation 4418.5 Two-stage estimator 4448.6 First-order approximation 4508.7 Lindstrom--Bates estimator 4528.8 Likelihood approximations 4578.9 One-parameter exponential model 4608.10 Asymptotic equivalence of the TS and LB estimators 4678.11 Bias-corrected two-stage estimator 4698.12 Distribution misspecification 4718.13 Partially nonlinear marginal mixed model 4748.14 Fixed sample likelihood approach4758.15 Estimation of random effects and hypothesis testing 4788.16 Example (continued) 4798.17 Practical recommendations 4818.18 Appendix: Proof of theorem on equivalence 4828.19 Summary points 4859 Diagnostics and Influence Analysis 4899.1 Introduction 4899.2 Influence analysis for linear regression 4909.3 The idea of infinitesimal influence 4939.4 Linear regression model 4959.5 Nonlinear regression model 5129.6 Logistic regression for binary outcome 5179.7 Influence of correlation structure 5269.8 Influence of measurement error 5279.9 Influence analysis for the LME model 5309.10 Appendix: MLE derivative with respect to σ2 5369.11 Summary points 53710 Tumor Regrowth Curves 54110.1 Survival curves 54310.2 Double--exponential regrowth curve 54510.3 Exponential growth with fixed regrowth time 55910.4 General regrowth curve 56510.5 Double--exponential transient regrowth curve 56610.6 Gompertz transient regrowth curve 57310.7 Summary points 57611 Statistical Analysis of Shape 57911.1 Introduction 57911.2 Statistical analysis of random triangles 58111.3 Face recognition 58411.4 Scale-irrelevant shape model 58511.5 Gorilla vertebrae analysis 58911.6 Procrustes estimation of the mean shape 59111.7 Fourier descriptor analysis 59811.8 Summary points 60712 Statistical Image Analysis 60912.1 Introduction 60912.2 Testing for uniform lighting 61212.3 Kolmogorov--Smirnov image comparison 61612.4 Multinomial statistical model for images 62012.5 Image entropy 62312.6 Ensemble of unstructured images 62712.7 Image alignment and registration 64012.8 Ensemble of structured images 65212.9 Modeling spatial correlation 65412.10 Summary points 66013 Appendix: Useful Facts and Formulas 66313.1 Basic facts of asymptotic theory 66313.2 Some formulas of matrix algebra 67013.3 Basic facts of optimization theory 674References 683Index 713.…”
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The health care data guide learning from data for improvement / door Provost, Lloyd P.

Inhoudsopgave: “…Other Tools for Learning from Variation.Frequency Plots.Pareto Charts.Scatter Plot.5 Understanding Variation Using Shewhart Charts.Selecting the Type of Shewhart Chart.Chart Selection Guide.Shewhart Charts for Continuous Data.I Charts.Examples of Shewhart Charts for Individual Measurements.Rational Ordering with an Individual Chart.Effect of the Distribution of the Measurements Example of Individual Chart for Deviations from a Target.X-Bar and S Chart.Shewhart Charts for Attribute Data.Subgroup Size For Attribute Charts.The P Chart for Classification Data.Examples of P Charts.Creation of Funnel Limits for P chart.C and U Charts for Counts of Nonconformities.C Charts.U Charts.Creation of Funnel Limits for a U chart.Process Capability.Process Capability from an I Chart.Capability of a Process from X-bar and S Chart (or R chart).Capability of a Process from Attribute Control Charts.Capability from a P Chart.Capability from a C or U Chart.Appendix 5.1: Calculating Shewhart Limits.Part II Advanced Theory and Methods with Data.6 Shewhart Chart Savvy: Dealing with Some Issues.Designing Effective Shewhart Charts.Typical Problems with Software for Calculating Shewhart Charts.Some Cautions when Using I Charts.7 More Shewhart-Type Charts.Other Shewhart-Type Charts.NP Chart.X-Bar and Range Chart.Median Chart.Shewhart Charts for Rare Events.G Chart for Opportunities Between Rare Events.T Chart for Time Between Rare Events.Some Alternatives to Shewhart-Type Charts.Moving Average Chart.Cumulative Sum (CUSUM) Chart.Exponentially Weighted Moving Average (EWMA) Chart.Standardized Shewhart Charts.Multivariate Shewhart-Type Charts.8 Special Uses for Shewhart Charts.Shewhart Charts with a Changing Center Line.Shewhart Charts with Sloping Center Line.Shewhart Charts with Seasonal Effects.Transformation of Data with Shewhart Charts.Shewhart Charts for Autocorrelated Data.Shewhart Charts for Attribute Data with Large Subgroup Sizes (Over-Dispersion).Prime Charts (P&' and U').Comparison Charts.Confidence Intervals and Confidence Limits.Shewhart Charts for Case-Mix Adjustment.9 Drilling Down into Aggregate Data for Improvement.What are Aggregate Data?…”
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