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1 Raosaheb Latpate/Jayant Kshirsagar/Vinod Kumar Gupta

商品価格：¥9,445

商品説明：This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negati...

2 Eleonora Bernasconi

商品価格：¥606

商品説明：Esercizi svolti sui test di verifica delle ipotesi e intervalli di confidenza: INTERVALLO DI CONFIDENZA PER LA MEDIA DI UNA POPOLAZIONE; INTERVALLO DI CONFIDENZA PER IL PARAMETRO DIFFERENZA TRA DUE MEDIE (µ1- µ2) INDIPENDENTI DI DUE DISTRIBUZIONI GAUSSIANE CON VARIANZE NOTE; INTERVALLO DI CONFIDENZA PER IL PARAMETRO DIFFERENZA TRA DUE MEDIE (µ1- µ2) INDIPENDENTI DI DUE DISTRIBUZIONI GAUSSIANE CON ...

3 Stan Gibilisco

商品価格：¥2,211

4 Ariel Amir

商品価格：¥4,274

商品説明：Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort ...

5

商品価格：¥7,901

商品説明：Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number ...

6 Thomas Alazard/Claude Zuily

商品価格：¥7,900

商品説明：This textbook offers a unique learning-by-doing introduction to the modern theory of partial differential equations. Through 65 fully solved problems, the book offers readers a fast but in-depth introduction to the field, covering advanced topics in microlocal analysis, including pseudo- and para-differential calculus, and the key classical equations, such as the Laplace, Schrödinger or Navier-Sto...

7 César Pérez López

商品価格：¥1,111

商品説明：Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in input data. Supervised learning uses classification and regression techniques to develop predictive models. MATLAB has the tool Deep Learning Toolbox (Neural N...

8

商品価格：¥14,830

商品説明：In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic mode...

9 William Poundstone

商品価格：¥1,709

商品説明：From the author of Are You Smart Enough to Work at Google?, a fascinating look at how an equation that foretells the future is transforming everything we know about life, business, and the universe. In the 18th century, the British minister and mathematician Thomas Bayes devised a theorem that allowed him to assign probabilities to events that had never happened before. It languished in obscurity ...

10 Eric J. Beh/Rosaria Lombardo

商品価格：¥7,514

商品説明：Master the fundamentals of correspondence analysis with this illuminating resource An Introduction to Correspondence Analysis assists researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis. The accomplished academics and authors deliver a comprehensive and insightful treatment of the fundamentals of correspondence a...

11

商品価格：¥9,079

商品説明：(Orginally published in 2004) A major focus of teacher education is the development of preservice teachers. However, it should not be the only focus of those who work in teacher education. Educating inservice teachers in equally important, and the conversation among those involved in mathematics teacher education needs to include discussion of this group as well. This conversation also highlights ...

12 René L. Schilling

商品価格：¥3,632

商品説明：A concise yet elementary introduction to measure and integration theory, which are vital in many areas of mathematics, including analysis, probability, mathematical physics and finance. In this highly successful textbook, core ideas of measure and integration are explored, and martingales are used to develop the theory further. Other topics are also covered such as Jacobi's transformation theorem,...

13 Esra Bas

商品価格：¥7,555

商品説明：This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help ...

14 Aileen Nielsen

商品価格：¥5,430

商品説明：Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time se...

15 Yaroslav Chabanyuk/Anatolii Nikitin/Uliana Khimka

商品価格：¥18,033

商品説明：This book analyzes stochastic evolutionary models under the impulse of diffusion, as well as Markov and semi-Markov switches. Models are investigated under the conditions of classical and non-classical (Levy and Poisson) approximations in addition to jumping stochastic approximations and continuous optimization procedures. Among other asymptotic properties, particular attention is given to weak co...

16 Mike Wiper/Fabrizio Ruggeri/David Insua

商品価格：¥12,939

商品説明：Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models. Key features: Explores Bayesian a...

17 Yuliya Mishura/Olena Ragulina

商品価格：¥17,301

商品説明：Ruin Probabilities: Smoothness, Bounds, Supermartingale Approach deals with continuous-time risk models and covers several aspects of risk theory. The first of them is the smoothness of the survival probabilities. In particular, the book provides a detailed investigation of the continuity and differentiability of the infinite-horizon and finite-horizon survival probabilities for different risk mod...

18 Boris Brodsky

商品価格：¥7,550

商品説明：This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical method...

19 Gopinath Kallianpur/P Sundar

商品価格：¥7,718

商品説明：Stochastic Analysis and Diffusion Processes presents a simple, mathematical introduction to Stochastic Calculus and its applications. The book builds the basic theory and offers a careful account of important research directions in Stochastic Analysis. The breadth and power of Stochastic Analysis, and probabilistic behavior of diffusion processes are told without compromising on the mathematical d...

20 Jin Li

商品価格：¥7,901

商品説明：Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process...

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