product
4678609R Programming for Actuarial Sciencehttps://www.gandhi.com.mx/r-programming-for-actuarial-science-9781119754992/phttps://gandhi.vtexassets.com/arquivos/ids/4153298/image.jpg?v=6384433562576700009361300MXNWileyInStock/Ebooks/<p><strong>R Programming for Actuarial Science</strong></p><p><strong>Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples</strong></p><p><em>R Programming for Actuarial Science</em> provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work.</p><p>In <em>R Programming for Actuarial Science</em>, readers will find:</p><ul><li>Basic theory for each chapter to complement other actuarial textbooks which provide foundational theory in depth.</li><li>Topics covered include compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing plus many more typically covered in university courses.</li><li>More than 400 coding examples and exercises, most with solutions, to enable students to gain a better understanding of underlying mathematical and statistical principles.</li><li>An overall basic to intermediate level of coverage in respect of numerous actuarial applications, and real-life examples included with every topic.</li></ul><p>Providing a highly useful combination of practical discussion and basic theory, <em>R Programming for Actuarial Science</em> is an essential reference for BSc/MSc students in actuarial science, trainee actuaries studying privately, and qualified actuaries with little programming experience, along with undergraduate students studying finance, business, and economics.</p>...4475765R Programming for Actuarial Science9361300https://www.gandhi.com.mx/r-programming-for-actuarial-science-9781119754992/phttps://gandhi.vtexassets.com/arquivos/ids/4153298/image.jpg?v=638443356257670000InStockMXN99999DIEbook20239781119754992_W3siaWQiOiIyODJiNzU0NS0xODY5LTQ3ZjQtOTI4ZC1kZDBjNDM4YjQ2OGIiLCJsaXN0UHJpY2UiOjEzMDAsImRpc2NvdW50IjozNjQsInNlbGxpbmdQcmljZSI6OTM2LCJpbmNsdWRlc1RheCI6dHJ1ZSwicHJpY2VUeXBlIjoiV2hvbGVzYWxlIiwiY3VycmVuY3kiOiJNWE4iLCJmcm9tIjoiMjAyNC0wOS0xOFQxNjowMDowMFoiLCJyZWdpb24iOiJNWCIsImlzUHJlb3JkZXIiOmZhbHNlfV0=9781119754992_<p><strong>R Programming for Actuarial Science</strong></p><p><strong>Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples</strong></p><p><em>R Programming for Actuarial Science</em> provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work.</p><p>In <em>R Programming for Actuarial Science</em>, readers will find:</p><ul><li>Basic theory for each chapter to complement other actuarial textbooks which provide foundational theory in depth.</li><li>Topics covered include compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing plus many more typically covered in university courses.</li><li>More than 400 coding examples and exercises, most with solutions, to enable students to gain a better understanding of underlying mathematical and statistical principles.</li><li>An overall basic to intermediate level of coverage in respect of numerous actuarial applications, and real-life examples included with every topic.</li></ul><p>Providing a highly useful combination of practical discussion and basic theory, <em>R Programming for Actuarial Science</em> is an essential reference for BSc/MSc students in actuarial science, trainee actuaries studying privately, and qualified actuaries with little programming experience, along with undergraduate students studying finance, business, and economics.</p>...9781119754992_Wileylibro_electonico_9781119754992_9781119754992Alfred KumeInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/wiley-epub-53c9061e-5e4f-4aa3-933d-4d7956495d4d.epub2023-10-26T00:00:00+00:00Wiley