statistical modeling

Statistical Modeling and Applications on Real-Time Problems Unraveling Insights through Advanced Analytical Techniques【電子書籍】Bayesian Statistical Modeling with Stan, R, and Python【電子書籍】 Kentaro MatsuuraApplied Statistical Modeling and Data Analytics A Practical Guide for the Petroleum Geosciences【電子書籍】 Srikanta MishraStatistical Methods and Modeling of Seismogenesis【電子書籍】 Nikolaos LimniosTraining Systems Using Python Statistical Modeling Explore popular techniques for modeling your data in Python【電子書籍】 Curtis MillerThe Statistical Analysis of Multivariate Failure Time Data A Marginal Modeling Approach【電子書籍】 Ross L. PrenticeBioinformatic and Statistical Analysis of Microbiome Data From Raw Sequences to Advanced Modeling with QIIME 2 and R【電子書籍】 Yinglin Xia洋書 Information Criteria and Statistical Modeling (Springer Series in Statistics)Statistical Modeling and Computation【電子書籍】 Joshua C.C. ChanStatistical Learning and Modeling in Data Analysis Methods and Applications【電子書籍】Statistical Modeling in Machine Learning Concepts and Applications【電子書籍】Real Estate Analysis in the Information Age Techniques for Big Data and Statistical Modeling【電子書籍】 Kimberly Winson-Geideman【中古】【輸入品 未使用】The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach (Chapman Hall/CRC Monographs on Statistics a【中古】 Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach / Rafal Weron / Wiley ハードカバー 【メール便送料無料】【あす楽対応】Bayesian Analysis with Python Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition【電子書籍】 Osvaldo MartinUltimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition)【電子書籍】 Nabanita Dash洋書 Complex Data Modeling and Computationally Intensive Statistical Methods (Contributions to Statistics)洋書 Paperback, Intro to Modeling Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics)【中古】【輸入品 未使用】Bayesian Model Selection and Statistical Modeling (Statistics: Textbooks and Monographs)An Introduction to Statistical Modeling of Extreme Values (Springer Series in Statistics) ハードカバー Coles, Stuart
 

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  • <p>In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from climate to production and beyond.</p> <p>This book</p> <p>・Serves as a comprehensive resource in statistical modeling, methodologies, and optimization techniques across various domains.</p> <p>・Features contributions from global authors; the compilation comprises 10 insightful chapters, each addressing critical aspects of estimation and optimization through statistical modeling.</p> <p>・Covers a spectrum of topics, from non-parametric goodness-of-fit statistics to Bayesian applications; the book explores novel resampling methods, advanced measures for empirical mode, ...
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  • <p>This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language.</p> <p>The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very beginning to basic regression analyses. The third part then introduces a number of probability distributions, nonlinear models, and hierarchical (multilevel) models, which are essential to mastering statistical modeling. It also describes a wide range of frequently used modeling techniques, such as censoring, outliers, missing data, speed-up, and parameter constraints, and discusses how to lead convergence of MCMC. Lastly, the fourth part examines advanced topics for real-world data: longitudinal data analysis, state space mode...
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  • <p><em>Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences</em> provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification.</p> <p>Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. ...
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  • <p>The study of earthquakes is a multidisciplinary field, an amalgam of geodynamics, mathematics, engineering and more. The overriding commonality between them all is the presence of natural randomness.</p> <p>Stochastic studies (probability, stochastic processes and statistics) can be of different types, for example, the black box approach (one state), the white box approach (multi-state), the simulation of different aspects, and so on. This book has the advantage of bringing together a group of international authors, known for their earthquake-specific approaches, to cover a wide array of these myriad aspects. A variety of topics are presented, including statistical nonparametric and parametric methods, a multi-state system approach, earthquake simulators, post-seismic activity models, time series Markov models with regression, scaling properties and multifractal approaches, selfcorrecting models, the linked stress release model, Markovian arrival models, Poisson-based detec...
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  • <p><strong>Leverage the power of Python and statistical modeling techniques for building accurate predictive models</strong></p> <h4>Key Features</h4> <ul> <li>Get introduced to Python's rich suite of libraries for statistical modeling</li> <li>Implement regression, clustering and train neural networks from scratch</li> <li>Includes real-world examples on training end-to-end machine learning systems in Python</li> </ul> <h4>Book Description</h4> <p>Python's ease of use and multi-purpose nature has led it to become the choice of tool for many data scientists and machine learning developers today. Its rich libraries are widely used for data analysis, and more importantly, for building state-of-the-art predictive models. This book takes you through an exciting journey, of using these libraries to implement effective statistical models for predictive analytics.</p> <p>You'll start by diving into classical statistical analysis, where you will learn t...
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  • <p><strong>The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach</strong> provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a context of randomized trial or cohort studies, the results go beyond that obtained by analyzing each failure time outcome in a univariate fashion. The book is addressed to researchers, practitioners, and graduate students, and can be used as a reference or as a graduate course text.</p> <p>Much of the literature on the analysis of censored correlated failure time data uses frailty or copula models to allow for residual dependencies among failure times, given covariates. In contrast, this book provides a detailed account of recently developed methods for the simultaneous estimation of marginal single and dual outcome hazard rate...
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  • <p>This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research.</p> <p><em>Bioinformatic and Statistical Analysis of Microbiome Data</em> is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fi...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p>This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. <em>Statistical Modeling and Computation</em> provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the b...
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  • <p>The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical inference and modeling to clustering and factorial methods, from directional data analysis to time series analysis and small area estimation. The applications reflect new analyses in a variety of fields, including medicine, finance, engineering, marketing and cyber risk.</p> <p>The book gathers selected and peer-reviewed contributions presented at the 12th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2019), held in Cassino, Italy, on September 11?13, 2019. CLADAG promotes advanced methodological research in multivariate statistics with a special focus on data analysis and classification, and supports the exchange and dissemination of ideas, methodological concepts, numeric...
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  • <p><em>Statistical Modeling in Machine Learning: Concepts and Applications</em> presents the basic concepts and roles of statistics, exploratory data analysis and machine learning. The various aspects of Machine Learning are discussed along with basics of statistics. Concepts are presented with simple examples and graphical representation for better understanding of techniques. This book takes a holistic approach ? putting key concepts together with an in-depth treatise on multi-disciplinary applications of machine learning. New case studies and research problem statements are discussed, which will help researchers in their application areas based on the concepts of statistics and machine learning.</p> <p><em>Statistical Modeling in Machine Learning: Concepts and Applications</em> will help statisticians, machine learning practitioners and programmers solving various tasks such as classification, regression, clustering, forecasting, recommending and more.</p> <ul> ...
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  • <p>The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data.</p> <p>Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling focuses on the real estate discipline, guiding researchers and practitioners alike on the use of data-centric methods and analysis from applied and theoretical perspectives. In it, the authors detail the integration of Big Data into conventional real estate research and analysis. The book is process-oriented, not only describing Big Data and associated methods, but also showing the reader how to use these methods through case studies supported by supplemental online material. The running theme is th...
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  • 【中古】【輸入品・未使用】The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)【メーカー名】Chapman and Hall/CRC【メーカー型番】【ブランド名】Chapman and Hall/CRC【商品説明】The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)当店では初期不良に限り、商品到着から7日間は返品を 受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。 ※離島、北...
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  • 著者: Rafal Weron出版社:Wileyサイズ:ハードカバーISBN-10:047005753XISBN-13:9780470057537■通常24時間以内に出荷可能です。※繁忙期やセール等、ご注文数が多い日につきましては 発送まで48時間かかる場合があります。あらかじめご了承ください。 ■メール便は、1冊から送料無料です。※宅配便の場合、2,500円以上送料無料です。※あす楽ご希望の方は、宅配便をご選択下さい。※「代引き」ご希望の方は宅配便をご選択下さい。※配送番号付きのゆうパケットをご希望の場合は、追跡可能メール便(送料210円)をご選択ください。■ただいま、オリジナルカレンダーをプレゼントしております。■中古品ではございますが、良好なコンディションです。決済は、クレジットカード、代引き等、各種決済方法がご利用可能です。■万が一品質に不備が有った場合は、返金対応。■クリーニング済み。■商品画像に「帯」が付いているものがありますが、中古品のため、実際の商品には付いていない場合がございます。■商品状態の表記につきまして・非常に良い:  使用されてはいますが、  非常にきれいな状態です。  書き込みや線引きはありません。・良い:  比較的綺麗な状態の商品で...
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  • <p><strong>Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ</strong></p> <h4>Key Features</h4> <ul> <li>A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ</li> <li>A modern, practical and computational approach to Bayesian statistical modeling</li> <li>A tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises.</li> </ul> <h4>Book Description</h4> <p>The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models.</p> <p>The main concepts of Bayesian statistics are covered using a practical and computational approach. Synthetic and real data sets are used to introduce several types of models, such as gene...
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  • <p>Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence!<br /> Book DescriptionThis book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.<br /> The handbook culminates in optimizing workflows with Julia's p...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • 【中古】【輸入品・未使用】Bayesian Model Selection and Statistical Modeling (Statistics: Textbooks and Monographs)【メーカー名】Chapman and Hall/CRC【メーカー型番】【ブランド名】Chapman and Hall/CRC【商品説明】Bayesian Model Selection and Statistical Modeling (Statistics: Textbooks and Monographs)当店では初期不良に限り、商品到着から7日間は返品を 受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。 ※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せ...
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  • 【30日間返品保証】商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。ご満足のいく取引となるよう精一杯対応させていただきます。※下記に商品説明およびコンディション詳細、出荷予定・配送方法・お届けまでの期間について記載しています。ご確認の上ご購入ください。【インボイス制度対応済み】当社ではインボイス制度に対応した適格請求書発行事業者番号(通称:T番号・登録番号)を印字した納品書(明細書)を商品に同梱してお送りしております。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。また、適格請求書発行事業者番号の入った領収書・請求書をご注文履歴からダウンロードして頂くこともできます(宛名はご希望のものを入力して頂けます)。■商品名■An Introduction to Statistical Modeling of Extreme Values (Springer Series in Statistics) [ハードカバー] Coles, Stuart■出版社■Springer■著者■Coles Stuart■発行年■2001/12/15■ISBN10■1852334592■ISBN13■9781852334598■コンディションランク■可コンディションランク説明ほぼ新品:未使用に近い状態の商品非常に...
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