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The Martian
by Andy Weir
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IDR 52.000
The Martian
by Andy Weir
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Probability & Statistics - Bayesian Analysis
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Pragmatics of Uncertainty
by
Kadane, Joseph B.
(Hardcover - English - 9781498719841)
A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working. ..
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2.991.000
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3.517.000
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Essential Methods for Design Based Sample Surveys
by
Pfeffermann, Danny
Rao, C. R.
(Paperback - English - 9780444638267)
Essential Methods for Design Based Sample Surveys presents key method contributions selected from the volume in the Handbook of Statistics: Sample Surveys: Design, Methods and Applications, Vol. 29a (2009). This essential reference provides specific aspects of sample survey design, with references to important contributions and available software. The content is aimed at researchers and practitioners who use statistical methods in design based sample surveys and market research. This book presents the core essential methods of sample selection and data processing. The data processing discussion covers editing and imputation, and methods of disclosure control. ..
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Stein's Method and Applications
by
Chen, Louis Hsiao Yun
Barbour, Andrew
(Hardcover - English - 9789812562814)
Stein's startling technique for deriving probability approximations first appeared about 30 years ago. Since then, much has been done to refine and develop the method, but it is still a highly active field of research, with many outstanding problems, both theoretical and in applications. This volume, the proceedings of a workshop held in honour of Charles Stein in Singapore, August 2003, contains contributions from many of the mathematicians at the forefront of this effort. It provides a cross-section of the work currently being undertaken, with many pointers to future directions. The papers in the collection include applications to the study of random binary se ..
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2.794.000
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3.285.000
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Semimartingale Theory and Stochastic Calculus
by
He/Wang/Yan
(Hardcover - English - 9780849377150)
Semimartingale Theory and Stochastic Calculus presents a systematic and detailed account of the general theory of stochastic processes, the semimartingale theory, and related stochastic calculus. The book emphasizes stochastic integration for semimartingales, characteristics of semimartingales, predictable representation properties and weak convergence of semimartingales. It also includes a concise treatment of absolute continuity and singularity, contiguity, and entire separation of measures by semimartingale approach. Two basic types of processes frequently encountered in applied probability and statistics are highlighted: processes with independent increments ..
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6.330.000
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Statistical Simulation: Power Method Polynomials and Other Transformations
by
Headrick, Todd C.
(Hardcover - English - 9781420064902)
Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years, it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available. Focusing on both univariate and multivariate nonnormal data generation, strong Statistical Simulation: Power Method Polynomials and Other Transformations strong presents techniques for conducting a Monte Carlo simulation study. It shows how to use power method polynomials for simulating univariate and multivariate nonnormal distributions with specified cumulants and correlatio ..
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5.721.000
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6.728.000
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Bayesian Model Selection and Statistical Modeling
by
Ando, Tomohiro
(Hardcover - English - 9781439836149)
Along with many practical applications, strong Bayesian Model Selection and Statistical Modeling strong presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. br br br br The author shows how to implement a variety of Bayesian inference using R and sampling methods, such as Markov chain Monte Carlo. He covers the different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors, the Bayesian predictive informat ..
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3.052.000
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3.589.000
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A Contingency Table Approach to Nonparametric Testing
by
Rayner, J. C. W.
Best, D. J.
(Hardcover - English - 9781584881612)
Most texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests, with less emphasis on dispersion effects and linear-quadratic tests. Tests for higher moment effects are virtually ignored. Using a fresh approach, A Contingency Table Approach to Nonparametric Testing unifies and extends the popular, standard tests by linking them to tests based on models for data that can be presented in contingency tables. This approach unifies popular nonparametric statistical inference and makes the traditional, most commonly performed nonparametric analyses much more complete and informative. It also makes tied data easily handled, and al ..
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5.295.000
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Rp.
6.227.000
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Reliability and Risk: A Bayesian Perspective
by
Singpurwalla, Nozer D.
(Hardcover - English - 9780470855027)
We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them. Quantification is required for normative decision-making, especially decisions pertaining to our safety and wellbeing. Increasingly in recent years Bayesian methods have become key to such quantifications. Reliability and Risk provides a comprehensive overview of the mathematical and statistical aspects of risk and reliability analysis, from a Bayesian perspective. This bo ..
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3.817.000
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Applied Stochastic Processes
by
Liao, Ming
(Hardcover - English - 9781466589339)
Many Smart Grid books include "privacy" in their title, but only touch on privacy, with most of the discussion focusing on cybersecurity. Filling this knowledge gap, Data Privacy for the Smart Grid provides a clear description of the Smart Grid ecosystem, presents practical guidance about its privacy risks, and details the actions required to protect data generated by Smart Grid technologies. It addresses privacy in electric, natural gas, and water grids and supplies two different perspectives of the topic--one from a Smart Grid expert and another from a privacy and information security expert.The authors have extensive experience with utilities and leading the ..
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5.061.000
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Rp.
5.951.000
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Statistical Methods with Applications to Demography and Life Insurance
by
Khmaladze, Estate V.
(Hardcover - English - 9781466505735)
Suitable for statisticians, mathematicians, actuaries, and students interested in the problems of insurance and analysis of lifetimes, strong Statistical Methods with Applications to Demography and Life Insurance strong presents contemporary statistical techniques for analyzing life distributions and life insurance problems. It not only contains traditional material but also incorporates new problems and techniques not discussed in existing actuarial literature. The book mainly focuses on the analysis of an individual life and describes statistical methods based on empirical and related processes. Coverage ranges from analyzing the tails of distributions of ..
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2.923.000
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Rp.
3.437.000
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Understanding Advanced Statistical Methods
by
Westfall, Peter
Henning, Kevin S. S.
(Hardcover - English - 9781466512108)
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, strong Understanding Advanced Statistical Methods strong helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers ..
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2.954.000
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Rp.
3.474.000
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Multivariate Bonferroni-Type Inequalities: Theory and Applications
by
Chen, John
(Hardcover - English - 9781466518438)
strong Multivariate Bonferroni-Type Inequalities: Theory and Applications strong presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade. The emergence of new bounding approaches pushes the conventional definitions of optimal inequalities and demands new insights into linear and Fréchet optimality. The book explores these advances in bounding techniques with corresponding innovative applications. It presents the method of linear programming for multivariate bounds, multivariate hybrid bounds, sub-Markovian bounds, and bounds using Hamilton circuits. br br br br The first half of ..
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2.934.000
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Rp.
3.450.000
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Mean Field Simulation for Monte Carlo Integration
by
del Moral, Pierre
(Hardcover - English - 9781466504059)
In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to parallel and distributed computation, these advanced particle algorithms include nonlinear interacting jump diffusions; quantum, diffusion, and resampled Monte Carlo methods; Feynman-Kac particle models; genetic and evolutionary algorithms; sequential Monte Carlo methods; adaptive and interacting Markov chain Monte Carlo models; bootstrapping methods; ensemble Kalman filter ..
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4.745.000
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Rp.
5.581.000
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Mathematical Statistics
by
Borokov, A. A.
(Hardcover - English - 9789056990183)
A wide-ranging, extensive overview of modern mathematical statistics, this work reflects the current state of the field while being succinct and easy to grasp. The mathematical presentation is coherent and rigorous throughout. br The author presents classical results and methods that form the basis of modern statistics, and examines the foundations of estimation theory, hypothesis testing theory and statistical game theory. He then considers statistical problems for two or more samples, and those in which observations are taken from different distributions. Methods of finding optimal and asymptotically optimal statistical procedures are given, along with treatm ..
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Rp.
7.649.000
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Rp.
8.996.000
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Statistical Methods of Analysis
by
Chiang, Chin Long
(Paperback - English - 9789812383105)
This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of methods of analysis useful for scientific research. It is rich in tables, diagrams, and examples, in addition to theoretical justification of the methods of analysis introduced. Each chapter has a section entitled "Exercises and Problems" to accompany the text. There are altogether about 300 exercises and problems, answers to the selected problems are given. A section entitled "Proof of the Results in This Chapter" in each chapter provides interested readers with mat ..
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1.696.000
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Rp.
1.995.000
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Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation
by
Tan, Ming T.
Tian, Guo-Liang
Ng, Kai Wang
(Hardcover - English - 9781420077490)
strong Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation strong presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-world problems, the authors focus on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms. After introducing the missing data problems, Bayesian approach, and posterior computation, the book succinctly describes EM- ..
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3.290.000
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Rp.
3.869.000
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Bayesian Reliability
by
Hamada, Michael S.
Wilson, Alyson
Reese, C. Shane
(Paperback - English - 9781441926739)
Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, ..
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4.194.000
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Rp.
4.932.000
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A Whistle-Stop Tour of Statistics
by
Everitt, Brian
(Paperback - English - 9781439877487)
The book is intended as a quick source of reference and as an aide-memoir for students taking A-level, undergraduate or postgraduate statistics courses. It includes numerous examples, helping instructors on such courses by providing their students with small data sets with which to work. ..
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1.482.000
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Rp.
1.742.000
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Complex Stochastic Systems
by
Barndorff-Nielsen, O. E.
Kluppelberg, Claudia
(Hardcover - English - 9781584881582)
Complex stochastic systems comprises a vast area of research, from modelling specific applications to model fitting, estimation procedures, and computing issues. The exponential growth in computing power over the last two decades has revolutionized statistical analysis and led to rapid developments and great progress in this emerging field. In Complex Stochastic Systems, leading researchers address various statistical aspects of the field, illustrated by some very concrete applications. A Primer on Markov Chain Monte Carlo by Peter J. Green provides a wide-ranging mixture of the mathematical and statistical ideas, enriched with concrete examples and more than 1 ..
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4.395.000
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Rp.
5.168.000
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Development of Modern Statistics and Related Topics: In Celebration of Prof Yaoting Zhang's 70th Birthday
by
Huang, Jian
Zhang, Heping
(Hardcover - English - 9789812383952)
This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifically, the issues that are studied include large deviation, deviation inequalities, local sensitivity of model misspecification in likelihood inference, empirical likelihood confidence intervals, uniform convergence rates in density estimation, randomized designs in clinical trials, MCMC andalgorithms, approximation of p-values in multipoint linkage analysis, use of mixture models in genetic studies, and design and anal ..
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3.575.000
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