Płać w 4 ratach w dowolnym miejscu dzięki rozszerzeniu do Chrome.

Kupuj, płać i śledź szybciej w aplikacji.

Zapisz się, aby otrzymywać wiadomości e-mail z informacjami dotyczącymi usług i promocji firmy Klarna oraz ofertami partnerów Klarna. Możesz wypisać się w dowolnym momencie.

Poznaj naszą wyszukiwarkę i dowiedz się jak sortujemy wyniki.

Dlaczego to widzisz?

Legimi

Now in its fifth edition, Derivatives and Internal Models provides a comprehensive and thorough introduction to derivative pricing, risk management and portfolio optimization, covering all relevant topics with enough hands-on, depth of detail to enable readers to develop their own pricing and risk tools.   The book provides insight into modern market risk quantification methods such as variance-covariance, historical simulation, Monte Carlo, hedge ratios, etc., including time series analysis and statistical concepts such as GARCH Models or Chi-Square-distributions. It shows how optimal trading decisions can be deduced once risk has been quantified by introducing risk-adjusted performance measures and a complete presentation of modern quantitative portfolio optimization. Furthermore, all the important modern derivatives and their pricing methods are presented; from basic discounted cash flow methods to Black-Scholes, binomial trees, differential equations, finite difference schemes, Mon

Derivatives and Internal Models

Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.

Climate Time Series Analysis

ENbook.pl

In this book, the thermodynamic observables of the classical one- and two-dimensional ferromagnetic and antiferromagnetic Ising models on a square lattice are simulated, especially at the phase transitions if applicable using the classical Monte Carlo algorithm of Metropolis. Finite size effects and the influence of an external magnetic field are described. The critical temperature of the 2d ferromagnetic Ising model is obtained using finite size scaling. Before presenting the Ising model, the basic concepts of statistical mechanics are recapped. Furthermore, the general principles of Monte Carlo methods are explained.

Monte Carlo simulations of the Ising model | Adler Michael | Paperback | Twarda

First published in 2007, this second edition describes the computational methods used in theoretical physics. New sections were added to cover finite element methods and lattice Boltzmann simulation, density functional theory, quantum molecular dynamics, Monte Carlo simulation, and diagonalisation of one-dimensional quantum systems. It covers many different areas of physics research and different computational methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for solving partial differential equations, and lattice gauge theory. Throughout the book the relations between the methods used in different fields of physics are emphasised. Several new programs are described and can be downloaded from www.cambridge.org9781107677135. The book requires a background in elementary programming, numerical analysis, and field theory, as well as undergraduate knowledge of condensed matter theory and statistical

Computational Physics | Thijssen Jos | Paperback | Twarda

ol li pA self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. pli li pNumerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves. pli li pThe development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.pliol

A First Course in Bayesian Statistical Methods | Hoff Peter D. | Paperback | Twarda

Statistical mechanics is a sub-branch of physics which makes use of the principles of statistical methods and probability theory to determine the behavior of macroscopic systems. It attempts to understand the properties of these systems such as heat capacity, pressure, temperature, etc. by studying the microscopic entities which constitute them. Various calculations methods concerned with this subject are Monte Carlo method, perturbation theory and exact solution method. The applications of statistical mechanics include regression analysis of gravitational orbits, weather forecasting and neural networks. This book presents the complex subject of statistical mechanics in the most comprehensible and easy to understand language. It attempts to understand the multiple branches that fall under the discipline of statistical mechanics and how such concepts have practical applications. This book will serve as a valuable source of information for those interested in this field.

Statistical Mechanics | Mitchell Mateo | Twarda | Twarda

pEmphasizing the use of WinBUGS and R to analyze real data, strongBayesian Ideas and Data Analysisstrongstrong An Introduction for Scientists and Statisticiansstrong presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data.ppThe first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo MCMC simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The 

Bayesian Ideas and Data Analysis | Christensen Ronald | Twarda

pSince their popularization in the 1990s, Markov chain Monte Carlo MCMC methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisheries science and economics. The wide-ranging practical importance of MCMC has sparked an expansive and deep investigation into fundamental Markov chain theory.ppThe strongHandbook of Markov Chain Monte Carlostrong provides a reference for the broad audience of developers and users of MCMC methodology interested in keeping up with cutting-edge theory and applications. The first half of the book covers MCMC foundations, methodology, and algorithms. The second half considers the use of MCMC in a variety of practical applications including in educational research, astrophysics, brain imaging, ecology, and sociology.ppThe in-depth introductory section

Handbook of Markov Chain Monte Carlo | Brooks Steve | Twarda | Twarda

pDrawing on the work of internationally acclaimed experts in the field, strongHandbook of Item Response Theory, Volume Two Statistical Tools strongpresents classical and modern statistical tools used in item response theory IRT. While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. ppstrongVolume Twostrong covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo MCMC methods.p

Handbook of Item Response Theory | Van Der Linden Wim J. | Twarda

pWritten by a world-renowned theoretical physicist, strongIntroduction to Statistical Physics, Second Edition strongclarifies the properties of matter collectively in terms of the physical laws governing atomic motion. This second edition expands upon the original to include many additional exercises and more pedagogically oriented discussions that fully explain the concepts and applications.ppThe book first covers the classical ensembles of statistical mechanics and stochastic processes, including Brownian motion, probability theory, and the Fokker-Planck and Langevin equations. To illustrate the use of statistical methods beyond the theory of matter, the author discusses entropy in information theory, Brownian motion in the stock market, and the Monte Carlo method in computer simulations. The next several chapters emphasize the difference between quantum mechanics and classical mechanics--the quantum phase. Applications covered include Fermi statistics and semiconductors and Bose sta

Introduction to Statistical Physics | Huang Kerson | Twarda | Twarda

An understanding of thermal physics is crucial to much of modern physics, chemistry and engineering. This book provides a modern introduction to the main principles that are foundational to thermal physics, thermodynamics and statistical mechanics. The key concepts are carefully presented in a clear way, and new ideas are illustrated with copious worked examples as well as a description of the historical background to their discovery. Applications are presented to subjects as diverse as stellar astrophysics, information and communication theory, condensed matter physics and climate change. Each chapter concludes with detailed exercises. pThe second edition of this popular textbook maintains the structure and lively style of the first edition but extends its coverage of thermodynamics and statistical mechanics to include several new topics, including osmosis, diffusion problems, Bayes theorem, radiative transfer, the Ising model and Monte Carlo methods. New examples and exercises have b

Concepts in Thermal Physics | Blundell Stephen J. | Paperback | Twarda

This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics. brThe book progresses through ten independent chapters starting with an introduction of Julia, and moving through basic probability, distributions, statistical inference, regression analysis, machine learning methods, and the use of Monte Carlo simulation for dynamic stochastic models. Ultimately this text introduces the Julia programming language as a computational tool, uniquely addressing end-users rather than developers. It m

Statistics with Julia | Nazarathy Yoni | Twarda

The branch of statistical inference which employs the principles of Bayes' theorem for updating the probability for a hypothesis is known as Bayesian inference. Various techniques and methods studied under this discipline include Markov chains, Monte Carlo methods, Bayesian estimation, hierarchical models, decision theory and hypothesis testing. Bayesian inference finds extensive applications across various fields such as artificial intelligence, e-mail security, gene analysis and jurimetrics. Its is also used in the areas related to phylogeny, methylation analysis, chemical kinetics and stock market predictions. There has been rapid progress in this field and its applications are finding their way across multiple industries. From theories to research to practical applications, case studies related to all contemporary topics of relevance to this field have been included in this book. It aims to equip students and experts with the advanced topics and upcoming concepts in this area.

Bayesian Inference | Gray Arthur | Twarda

pModern ecological and environmental sciences are dominated by observational data. As a result, traditional statistical training often leaves scientists ill-prepared for the data analysis tasks they encounter in their work. Bayesian methods provide a more robust and flexible tool for data analysis, as they enable information from different sources to be brought into the modelling process. strongBayesian Applications in Evnironmental and Ecological Studies with R and Stanstrong provides a Bayesian framework for model formulation, parameter estimation, and model evaluation in the context of analyzing environmental and ecological data.p pstrongFeatures strongp ul liAn accessible overview of Bayesian methods in environmental and ecological studiesli liEmphasizes the hypothetical deductive process, particularly model formulationli liNecessary background material on Bayesian inference and Monte Carlo simulationli liDetailed case studies, covering water quality monitoring and assessment, ecos

Bayesian Applications in Environmental and Ecological Studies with R and Stan | Qian Song S. | Twarda | Twarda

pThis book walks you through learning probability and statistics from a Bayesian point of view. br  br  From an introduction to probability theory through to frameworks for doing rigorous calculations of probability, it discusses Bayes' Theorem before illustrating how to use it in a variety of different situations with real data from social research.p pThe book also p ul liIntroduces Markov Chain Monte Carlo methods for doing Bayesian statistics through computer simulations, so you can find solutions to your own research problems.li liEquips you with coding skills in the statistical modelling language Stan and programming language R.li liDiscusses how Bayesian approaches to statistics compare to classical approaches.li ul pFeatures include an introduction to each chapter and a chapter summary to help you check your learning. All the examples and data used in the book are also available in the online resources so you can practice at your own pace.br  br  For readers with some understand

Bayesian Methods in Statistics | Slater Mel | Twarda

This book is an introduction to the computational methods used in physics and other related scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. C is used for programming the core programs and data analysis is performed using the powerful tools of the GNULinux environment. All the necessary software is open source and freely available. The book starts with very simple problems in particle motion and ends with an in-depth discussion of advanced techniques used in Monte Carlo simulations in statistical mechanics. The level of instruction rises slowly, while discussing problems like the diffusion equation, electrostatics on the plane, quantum mechanics and

Computational Physics | A Practical Introduction to Computational Physics and Scientific Computing | Anagnostopoulos Konstantinos | Twarda

This book serves as a reference for people interested in statistical computing. The second edition discusses the R software, a free statistical program of growing interest.

Random Number Generation and Monte Carlo Methods | Gentle James E. | Paperback | Twarda

Brandosa

Naprawdę wygodne majtki z miękkiego i elastycznego materiału z efektywnym odprowadzaniem wilgoci, które zapewnia suchość i ciepło. Dzięki bezszwowej konstrukcji i dopasowaniu pasuje jak ulał.Materiał: 65% nylon, 30% poliester, 5% spandex.

Inez Pants Blue, Female, Odzież, podstawowe warstwy, Niebieski, XS/S

Caliroots

Mammoth Large Night Camo/black, Unisex, Ekwipunek, Torby, Czarny, ONESIZE

Trampki Jenny Fairy Kremowy Aż do 120 dni na zwrot  dla Klubowiczów!

Trampki Jenny Fairy

E.M.P.

KIHILIST by KILLSTAR - T-Shirt - Moonlit Reaper T-Shirt - 100% bawełna - XS, S, M, L, XL, XXL, 3XL, 4XL - czarny - duży nadruk z przodu - dekolt: okrągły - krój: regularny

Koszulka KIHILIST by KILLSTAR - T-shirt Moonlit Reaper T-Shirt - Mężczyźni - czarny

pHow can music withstand the death and destruction brought on by war Global conflicts of the 20th century fundamentally transformed not only national boundaries, power relations, and global economies, but also the arts and culture of every nation involved. An important, unacknowledged aspect of these conflicts is that they have unique musical soundtracks. iMusic in World War IIi explores how music and sound took on radically different dimensions in the United States and Europe before, during, and after World War II. Additionally, the collection examines the impact of radio and film as the disseminators of the war's musical soundtrack. Contributors contend that the European and American soundtrack of World War II was largely one of escapism rather than the lofty, solemn, heroic, and celebratory mode of war music in the past. Furthermore, they explore the variety of experiences of populations forced from their homes and interned in civilian and POW camps in Europe and the United States, 

Music in World War II | Potter Pamela M. | Twarda

ENdisc.pl

EAN: 0134120182022 "Kev Brown" Redefinition Records

"Homework" ("Kev Brown") (Vinyl / 12" Album)

EYERIm

Ray-Ban RB3445 002/58 Polarized, Spolaryzowane, Czarne, Materiał 1, Męskie okulary przeciwsłoneczne

Okulary przeciwsłoneczne > Męskie > Rectangular > Ray-Ban, RB3445 002/58 Polarized

Footway

Buty w swobodnym, sportowym stylu dla aktywnych.Wybierz buty adidas i ruszaj pobiegać po parku, a potem wyskocz na kawę z przyjaciółmi. Cholewka z siateczki zapewnia przewiewność i gwarantuje komfort przez cały dzień. Trwała gumowa podeszwa zewnętrzna stanowi solidną podstawę, która sprawdzi się bez względu na to, jak bardzo zabiegany jest Twój dzień.Standardowy krójModel sznurowanyCholewka z warstwowej siateczkiPoczucie lekkiego i przewiewnego komfortuPodeszwa środkowa z pianki EVAWspierająca, bezszwowa pięta

Runfalcon 2.0 Grey Five/silver Met./grey Two, Female, Buty, Sneakersy, buty sportowe, Szary/Niebieski, EU 42

Horze

Oficerki Verona są nie tylko eleganckie, ale także praktyczne - idealne na zawody, kiedy musisz wyglądać wspaniale i dać z siebie w wszystko.Obie odpinane lamówki posiadają małą, srebrną przypinkę z logo Horze.Gładka skóra po zewnętrznej stronie i tłoczona skóra po wewnętrznej stronie łączą się tworząc wysoce profesjonalne oficerki.Elastyczna wstawka, która biegnie wzdłuż cholewki sprawia, że oficerki leżą jak ulał.Stopa ozdobiona jest paskiem z dziurkami, elastycznymi, zamocowanymi na stałe sznurowadłami i posiada przydatną podpórkę na ostrogę.Skórzane paski zapinane na zatrzask na górze i dole suwaka gwarantują skuteczne zapięcie oficerek.

Oficerki damskie skórzane Horze Verona

NA-KD

Ta góra bikini ma kwadratowy dekolt i zdejmowane wyściełane miseczki. Ma szerokie ramiączka i regulowaną haftkę z tyłu.

NA-KD Gzęsty top od bikini z kwadratowym dekoltem - Bikini - Różowy - M (EU 38-40) - NA-KD / NAKD

Runforest

Wydajna cholewka z siateczki zapewnia lekkość i przewiewność Piankowa wyściółka umieszczona wokół kołnierza kostki i pod językiem zapewnia niewiarygodnie wygodne dopasowanie i czucie Wkładka z pianki Deluxe dopasowuje się do stopy, zapewniając dodatkowy komfort pod stopami Podeszwa środkowa Charged Cushioning® wykorzystuje formowaną kompresyjnie piankę, zapewniając najwyższą responsywność i trwałość Trwały wzór podeszwy zewnętrznej zapewnia elastyczność i przyczepność

Ua Charged Pursuit 3 White, Male, Buty, Sneakersy, Sneakersy, Biały, EU 40

Sportamore

Uzyskaj osłonę, której potrzebujesz, wychodząc na całość w staniku sportowym Nike Trophy. Ten niezbędny na co dzień jest zasilany technologią Dri-FIT, dzięki czemu możesz grać z pewnością siebie.

Trophy Bra Junior Pink, Unisex, Odzież, Tops, Trening, Różowy, M

StreetStyle24

Spodnie męskie Lacoste Tracksuit Trousers Bottom XH9624-CCA – szare Męskie spodnie dresowe Lacoste Tracksuit Trousers Bottom. Zostały wykonane z wysokiej jakości materiału, który gwarantuje komfort użytkowania. Odzież posiada klasyczny krój z elastyczną, regulowaną za pomocą sznurka talią. Nogawki zakończone ściągaczem świetnie wyeksponują Twoje buty i zapewnią optymalne dopasowanie, a boczne kieszenie zmieszczą niezbędne drobiazgi. Męskie spodnie dresowe zadowolą fanów miejskiego stylu. Model ten świetnie dopełni męskie bluzy. W takim zestawie będziesz mógł wyruszyć na podbój miejskiej dżungli. Specyfikacja: - materiał: 84% bawełna, 16% poliester - klasyczny krój - elastyczna talia regulowana za pomocą sznurka - boczne kieszenie - nogawki zakończone ściągaczem - branding producentaPodmiot odpowiedzialny: Devanlay Polska Spółka z o. o. ul. Złota 59, 00-120 Warszawa, Polska

monte carlo statistical methods