Statistics and Analysis of Scientific Data
portes grátis
Statistics and Analysis of Scientific Data
Bonamente, Massimiliano
Springer Verlag, Singapore
07/2022
488
Dura
Inglês
9789811903649
15 a 20 dias
928
Descrição não disponível.
Theory of Probability.- Random Variables and Their Distributions.- Three Fundamental Distributions: Binomial, Gaussian and Poisson.- The Distribution of Functions of Random Variables.- Error Propagation and Simulation of Random Variables.- Maximum Likelihood and Other Methods to Estimate Variables.- Mean, Median and Average Values of Variables.- Hypothesis Testing and Statistics.- Maximum-likelihood Methods for Gaussian Data.- Multi-variable Regression and Generalized Linear Models.- Goodness of Fit and Parameter Uncertainty for Gaussian Data.- Low-Count Statistics.- Maximum-likelihood Methods for low-count Statistics.- The linear Correlation Coefficient.- Systematic Errors and Intrinsic Scatter.-Regression with Bivariate Errors.- Model Comparison.- Monte Carlo Methods.- Introduction to Markov Chains.- Monte Carlo Markov Chains.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Textbook Statistical Methods;Fitting Data with Bivariate Errors;Goodness of Fit and Parameter Uncertainty;Maximum Likelihood Fit;Median, Weighted Mean and Linear Average;Monte Carlo Methods and Markov Chains;Probability Theory for Physicists;Statistical Methods for Science and Engineering;Statistics for Business Science;Systematic Errors and Intrinsic Scatter;Low-Count Statistics
Theory of Probability.- Random Variables and Their Distributions.- Three Fundamental Distributions: Binomial, Gaussian and Poisson.- The Distribution of Functions of Random Variables.- Error Propagation and Simulation of Random Variables.- Maximum Likelihood and Other Methods to Estimate Variables.- Mean, Median and Average Values of Variables.- Hypothesis Testing and Statistics.- Maximum-likelihood Methods for Gaussian Data.- Multi-variable Regression and Generalized Linear Models.- Goodness of Fit and Parameter Uncertainty for Gaussian Data.- Low-Count Statistics.- Maximum-likelihood Methods for low-count Statistics.- The linear Correlation Coefficient.- Systematic Errors and Intrinsic Scatter.-Regression with Bivariate Errors.- Model Comparison.- Monte Carlo Methods.- Introduction to Markov Chains.- Monte Carlo Markov Chains.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Textbook Statistical Methods;Fitting Data with Bivariate Errors;Goodness of Fit and Parameter Uncertainty;Maximum Likelihood Fit;Median, Weighted Mean and Linear Average;Monte Carlo Methods and Markov Chains;Probability Theory for Physicists;Statistical Methods for Science and Engineering;Statistics for Business Science;Systematic Errors and Intrinsic Scatter;Low-Count Statistics
