Finance - Statistical methods.

An Introduction to econophysics : = correlations and complexity in finance / by: (Language materials, printed)

The statistical mechanics of fianancial markets / by: (Language materials, printed)

Numerical methods in finance : = a MATLAB-based introduction / by: (Language materials, printed)

Statistics of financial markets : = an introduction / by: (Language materials, printed)

Financial market complexity / by: (Language materials, printed)

Dynamics of markets : = econophysics and finance / by: (Language materials, printed)

Financial econometrics : = problems, models, and methods / by: (Language materials, printed)

High frequency financial econometrics : = recent developments / by: (Language materials, printed)

The Statistical Mechanics of Financial Markets by: (Language materials, printed)

The statistical mechanics of financial markets / by: (Language materials, printed)

Statistical models and methods for financial markets by: (Language materials, printed)

Statistics and finance : = an introduction / by: (Language materials, printed)

Statistics for business and financial economics / by: (Language materials, printed)

Introduction to MINITAB to accompany statistics for business and financial economics by Cheng F. Lee / by: (Language materials, printed)

Handbook of heavy tailed distributions in finance by: (Language materials, printed)

Financial market complexity by: (Language materials, printed)

Random processes in physics and finance by: (Language materials, printed)

Statistics of financial markets = an introduction / by: (Electronic resources)

Statistics and data analysis for financial engineering by: (Electronic resources)

Statistical tools for finance and insurance by: (Electronic resources)

Wavelet applications in economics and finance by: (Electronic resources)

Statistics for finance / by: (Language materials, printed)

Financial and actuarial statistics : = an introduction / by: (Language materials, printed)

Statistics and data analysis for financial engineering = with R examples / by: (Electronic resources)

Large deviations and asymptotic methods in finance by: (Language materials, printed)

A course on statistics for finance / by: (Language materials, printed)

The mathematics of financial models = solving real-world problems with quantitative methods / by: (Electronic resources)

Nonparametric finance by: (Electronic resources)

Time series in economics and finance by: (Electronic resources)

Quantitative methods in finance = exploring the drivers of sustainable economic growth in the EU / by: (Electronic resources)

Urn models and their applications in finance by: (Electronic resources)

Bayesian machine learning in quantitative finance = theory and practical applications / by: (Electronic resources)

Handbook of heavy tailed distributions in finance / by: (Language materials, printed)

Stochastic finance : = an introduction in discrete time / by: (Language materials, printed)

Random processes in physics and finance / by: (Language materials, printed)

Numerical methods in finance and economics : = a MATLAB-based introduction / by: (Language materials, printed)

Probability and statistics for finance / by: (Language materials, printed)

Financial and actuarial statistics = an introduction / by: (Electronic resources)

Statistics of financial markets = an introduction / by: (Electronic resources)

Continuous time processes for finance = switching, self-exciting, fractional and other recent dynamics / by: (Electronic resources)

Essentials of Excel VBA, Python, and R.. Volume I, . Financial statistics and portfolio analysis by: (Electronic resources)

Finance's wrong turns = a new foundation for financial markets, asset management, and social science / by: (Electronic resources)

Essentials of Excel VBA, Python, and R.. Volume II,. Financial derivatives, risk management and machine learning by: (Electronic resources)

Financial and actuarial mathematics by: (Electronic resources)

A cookbook with probability one = with financial applications / by: (Electronic resources)

Medieval statistics = accounting, record-keeping and financial management, 1066-1525 / by: (Electronic resources)