Finance - Statistical methods.

Optimal statistical inference in financial engineering / by: (Language materials, printed)

Statistics of financial marketsan introduction / by: (Electronic resources)

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

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

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

Regression modeling with actuarial and financial applications / by: (Language materials, printed)

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

Financial mathematics for actuaries / by: (Language materials, printed)

Computational finance :a scientific perspective / by: (Language materials, printed)

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

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

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

Statistics of financial marketsan introduction / by: (Electronic resources)

Statistics and data analysis for financial engineeringwith R examples / by: (Electronic resources)

Large deviations and asymptotic methods in finance by: (Electronic resources)

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

Financial and actuarial statisticsan introduction / by: (Electronic resources)

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

Nonparametric finance by: (Electronic resources)

Statistics of financial marketsan introduction / by: (Electronic resources)

Statistical portfolio estimation / by: (Language materials, printed)

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

Risk and stochastics :Ragnar Norberg / by: (Language materials, printed)

Continuous time processes for financeswitching, 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)

Essentials of Excel VBA, Python, and R.Volume I,Financial statistics and portfolio analysis / by: (Language materials, printed)

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

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

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

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

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

Bayesian machine learning in quantitative financetheory and practical applications / by: (Electronic resources)

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

New perspectives in mathematical and statistical methods for actuarial sciences and finance by: (Electronic resources)