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Statistics for Business and Economics(2024) ANDERSON, DAVID (UNIVERSITY OF CINCINNATI),SWEENEY, DENNIS (UNIVERSITY OF CINCINNATI),WILLIAMS, THOMAS (ROCHESTER INSTITUTE OF TECHNOLOGY),CAMM, JEFFREY (WAKE FOREST UNIVERSITY),COCHRAN, JAMES (UNIVERSITY OF ALABAMA),FREEMAN, JAMES (MANCHESTER BUSINESS SCHOOL, UK),SHOESMITH, EDDIE (UNIVERSITY OF BUCKINGHAM, UK),FRY, MICHAEL (UNIVERSITY OF CINCINNATI),OHLMANN, JEFFREY (UNIVERSITY OF IOWA)Vezava: Mehka102,71 €
ANDERSON, DAVID (UNIVERSITY OF CINCINNATI),SWEENEY, DENNIS (UNIVERSITY OF CINCINNATI),WILLIAMS, THOMAS (ROCHESTER INSTITUTE OF TECHNOLOGY),CAMM, JEFFREY (WAKE FOREST UNIVERSITY),COCHRAN, JAMES (UNIVERSITY OF ALABAMA),FREEMAN, JAMES (MANCHESTER BUSINESS SCHOOL, UK),SHOESMITH, EDDIE (UNIVERSITY OF BUCKINGHAM, UK),FRY, MICHAEL (UNIVERSITY OF CINCINNATI),OHLMANN, JEFFREY (UNIVERSITY OF IOWA)
Statistics for Business and Economics
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Football Analytics with Python & R(2023) EAGER, ERIC,ERICKSON, RICHARDBaseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. This concise book provides a clear introduction to using statistical models to analyze footVezava: Mehka67,97 €
EAGER, ERIC,ERICKSON, RICHARD
Football Analytics with Python & R
Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. This concise book provides a clear introduction to using statistical models to analyze foot
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Inference for Functional Data with Applications(2012) HORVATH, LAJOS,KOKOSZKA, PIOTRThis book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology.Vezava: Trda198,44 €
HORVATH, LAJOS,KOKOSZKA, PIOTR
Inference for Functional Data with Applications
This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology.
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Cambridge International AS & A Level Mathematics Probability & Statistics 1(2018) GOLDIE, SOPHIEEndorsed by Cambridge Assessment International Education to provide full support for Paper 5 of the syllabus for examination from 2020. Take mathematical understanding to the next level with this accessible series, written by experienced authors, examinVezava: Mehka52,37 €
GOLDIE, SOPHIE
Cambridge International AS & A Level Mathematics Probability & Statistics 1
Endorsed by Cambridge Assessment International Education to provide full support for Paper 5 of the syllabus for examination from 2020. Take mathematical understanding to the next level with this accessible series, written by experienced authors, examin
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Essentials of Statistical Inference(2010) YOUNG, G. A. (IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE, LONDON),SMITH, R. L. (UNIVERSITY OF NORTH CAROLINA, CHAPEL HILL)Written for advanced undergraduates and graduate students in mathematics and related disciplines, this book explains the main approaches to statistical inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesiVezava: Mehka64,30 €
YOUNG, G. A. (IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE, LONDON),SMITH, R. L. (UNIVERSITY OF NORTH CAROLINA, CHAPEL HILL)
Essentials of Statistical Inference
Written for advanced undergraduates and graduate students in mathematics and related disciplines, this book explains the main approaches to statistical inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesi
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Statistical Models(2009) FREEDMAN, DAVID A. (UNIVERSITY OF CALIFORNIA, BERKELEY)This lively and engaging book explains the basic ideas of association and regression, and tells you the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical moVezava: Mehka84,79 €
FREEDMAN, DAVID A. (UNIVERSITY OF CALIFORNIA, BERKELEY)
Statistical Models
This lively and engaging book explains the basic ideas of association and regression, and tells you the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical mo
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Introduction To Probability, An: With Mathematica®(2022) KAO, EDWARD P C (UNIV OF HOUSTON, USA)Vezava: Mehka87,46 €
KAO, EDWARD P C (UNIV OF HOUSTON, USA)
Introduction To Probability, An: With Mathematica®
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Markov Decision Processes(2005) PUTERMAN, MARTIN L. (UNIVERSITY OF BRITISH COLUMBIA)This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary staVezava: Mehka197,00 €
PUTERMAN, MARTIN L. (UNIVERSITY OF BRITISH COLUMBIA)
Markov Decision Processes
This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary sta
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Probability with Martingales(1991) WILLIAMS, DAVID (STATISTICAL LABORATORY, UNIVERSITY OF CAMBRIDGE)This key book is a rigorous account which has Doob's theory of martingales in discrete time as its main theme. A distinguishing feature of this study is its determination to keep the probability flowing at a nice tempo. It achieves this by being selectiveVezava: Mehka73,49 €
WILLIAMS, DAVID (STATISTICAL LABORATORY, UNIVERSITY OF CAMBRIDGE)
Probability with Martingales
This key book is a rigorous account which has Doob's theory of martingales in discrete time as its main theme. A distinguishing feature of this study is its determination to keep the probability flowing at a nice tempo. It achieves this by being selective
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Introduction to Time Series Using Stata(2020) BECKETTI, SEAN (UNIVERSITY OF AARHUS, DENMARK)Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques–from the incredibly simple to the quite complex– and, at the same time, demonstrates how these techniques can be applied in the StatVezava: Mehka105,15 €
BECKETTI, SEAN (UNIVERSITY OF AARHUS, DENMARK)
Introduction to Time Series Using Stata
Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques–from the incredibly simple to the quite complex– and, at the same time, demonstrates how these techniques can be applied in the Stat
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Elementary Stochastic Calculus, With Finance In View(1998) MIKOSCH, THOMAS (UNIV OF COPENHAGEN, DENMARK)An elementary introduction to modelling with Ito integral or stochastic differential equations, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black-Scholes option priciVezava: Trda76,33 €
MIKOSCH, THOMAS (UNIV OF COPENHAGEN, DENMARK)
Elementary Stochastic Calculus, With Finance In View
An elementary introduction to modelling with Ito integral or stochastic differential equations, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black-Scholes option prici
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Outstanding User Interfaces with Shiny(2022) GRANJON, DAVID (SENIOR DATA SCIENCE EXPERT, NOVARTIS, SWITZERLAND)Outstanding User Interfaces with Shiny provides the reader with necessary knowledge to develop beautiful and highly interactive user interfaces.Vezava: Mehka100,06 €
GRANJON, DAVID (SENIOR DATA SCIENCE EXPERT, NOVARTIS, SWITZERLAND)
Outstanding User Interfaces with Shiny
Outstanding User Interfaces with Shiny provides the reader with necessary knowledge to develop beautiful and highly interactive user interfaces.
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Mathematical Statistics(2015) BICKEL, PETER J. (UNIVERSITY OF CALIFORNIA, BERKELEY, USA),DOKSUM, KJELL A. (UNIVERSITY OF WISCONSIN, MADISON, USA)Vezava: Trda152,76 €
BICKEL, PETER J. (UNIVERSITY OF CALIFORNIA, BERKELEY, USA),DOKSUM, KJELL A. (UNIVERSITY OF WISCONSIN, MADISON, USA)
Mathematical Statistics
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