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Advanced Risk Analysis in Engineering Enterprise Systems
by Garvey, Paul R.    Pinto, Cesar Ariel   
(Paperback - English - 9781032477558)
Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, the engineering management and management science communities need new approaches for analyzing and managing risk in engineering enterprise systems. strong Advanced Risk Analysis in Engineering Enterprise Systems strong presents innovative methods to address these needs. With a focus on engineering management, the book explains how to represent, model, and measure risk in large-scale, complex systems that are engineered to function in enterprise-wide environments. Along with an analytical framework and com ..
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Rp. 1.552.000
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Rp. 1.319.000
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Statistical Evidence: A Likelihood Paradigm
by Tibshirani, R. J.    Royall, Richard   
(Paperback - English - 9781032478005)
Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the ..
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Rp. 1.541.000
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Rp. 1.310.000
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Statistical Inference Based on the Likelihood: Based on the Likelihood
by Azzalini, Adelchi    Isham, Valerie   
(Paperback - English - 9781032478012)
The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood. Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data. ..
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Rp. 1.628.000
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Rp. 1.384.000
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Introduction to Statistics
by Malacrida, Simone       
(Paperback - English - 9798215452073)
All mathematical topics related to statistics are presented in this book: br combinatorial calculus br probability and elementary statistics br random variables br continuous and discrete probability distributions br estimation theory and hypothesis testing br regression and Bayesian inference br stochastic processes ..
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Rp. 158.000
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Rp. 134.000
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Exercices d'inférence statistique
by Malacrida, Simone       
(Paperback - French - 9798215613184)
Dans ce livre, des exercices sont réalisés sur les sujets mathématiques suivants: br théorie de l'estimation br test et vérification d'hypothèses br régression linéaire br Des premières indications théoriques sont également présentées pour faire comprendre l'exécution des exercices. ..
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Rp. 157.000
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Rp. 133.000
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Ejercicios de Inferencia Estadística
by Malacrida, Simone       
(Paperback - Spanish - 9798215853665)
En este libro se realizan ejercicios sobre los siguientes temas matemáticos: br teoría de la estimación br prueba y verificación de hipótesis br regresión lineal br También se presentan indicaciones teóricas iniciales para que se comprenda la realización de los ejercicios ..
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Rp. 157.000
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Rp. 133.000
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Exercices de statistiques avancées
by Malacrida, Simone       
(Paperback - French - 9798215058930)
Dans ce livre, des exercices sont réalisés sur les sujets mathématiques suivants: br variables aléatoires, moyenne, variance, covariance br distributions de probabilité marginales et jointes br distributions de probabilité continues et discrètes br théorèmes remarquables et inégalités de statistiques br Des premières indications théoriques sont également présentées pour rendre compréhensible le déroulement des exercices. ..
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Rp. 183.000
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Rp. 155.000
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Statistical Inference: The Minimum Distance Approach
by Basu, Ayanendranath    Shioya, Hiroyuki    Park, Chanseok
(Paperback - English - 9781032477633)
In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is literally huge. Filling a statistical resource gap, strong Statistical Inference: strong strong The Minimum Distance Approach strong comprehensively overviews developments in density-based minimum distance inference for independently and identically distributed data. Extensions to other more complex models are also discussed. Comprehensively covering the basics and ..
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Rp. 1.552.000
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Rp. 1.319.000
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Basic Environmental Data Analysis for Scientists and Engineers
by R. B. Von Frese, Ralph       
(Paperback - English - 9781032475066)
Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the extensive and growing community of Earth scientists and engineers. Basic Environmental Data Analysis for Scientists and Engineers introduces practical concepts of modern digital data analysis and graphics, including numerical graphical calculus, measurement units and dimensional analysis, error propagation and statistics, and least squares data modeling. It emphasizes array-based or matri ..
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Special Order
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Rp. 1.552.000
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Rp. 1.319.000
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Applied Time Series Analysis and Forecasting with Python
by Huang, Changquan    Petukhina, Alla   
(Hardcover - English - 9783031135835)
- 1. Time Series Concepts and Python. - 2. Exploratory Time Series Data Analysis. - 3. Stationary Time Series Models. - 4. ARMA and ARIMA Modeling and Forecasting. - 5. Nonstationary Time Series Models. - 6. Financial Time Series and Related Models. - 7. Multivariate Time Series Analysis. - 8. State Space Models and Markov Switching Models. - 9. Nonstationarity and Cointegrations. - 10. Modern Machine Learning Methods for Time Series Analysis. ..
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Rp. 3.781.000
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Rp. 3.215.000
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The Psychometrics of Standard Setting: Connecting Policy and Test Scores
by Reckase, Mark       
(Hardcover - English - 9781498722117)
This book provides a unifying structure for the activities that fall under the process typically called "standard setting" on tests of proficiency. Standard setting refers to the methodology used to identify performance standards on tests of proficiency. The results from standard setting studies are critical for supporting the use of many types of tests. The process is frequently applied to educational, psychological, licensure certification, and other types of tests and examination systems. The literature on procedures for standard setting is extensive, but the methodology for standard setting has evolved in a haphazard way over many decades without a unifying ..
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Rp. 3.344.000
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Rp. 2.843.000
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Testing Statistical Hypotheses
by Lehmann, E. L.    Romano, Joseph P.   
(Hardcover - English - 9783030705770)
The Third Edition of Testing Statistical Hypotheses brings it into consonance with the Second Edition of its companion volume on point estimation (Lehmann and Casella, 1998) to which we shall refer as TPE2. We won't here comment on the long history of the book which is recounted in Lehmann (1997) but shall use this Preface to indicate the principal changes from the 2nd Edition. The present volume is divided into two parts. Part(Chapters 1-10) treats small-sample theory, while Part II (Chapters 11-15) treats large-sample theory. The preface to the 2nd Edition stated that "the most important omission is an adequate treatment of optimality paralleling that given fo ..
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Rp. 4.247.000
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Rp. 3.611.000
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Uncertainty Analysis for Engineers and Scientists: A Practical Guide
by Morrison, Faith A.       
(Hardcover - English - 9781108478359)
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Rp. 2.438.000
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Rp. 2.073.000
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Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python
by de Braganca Pereira, Basilio    Radhakrishna Rao, Calyampudi    Borges De Oliveira, Fabio
(Paperback - English - 9781032335933)
Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more effort from readers, who can learn the theory and its applications in statistical methods with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with Python code examples, which are available online. It is suitable for scientists and developers as well as graduate students. Key Features: ul li Discusses applications in several research areas li li Covers a wide range of widely use ..
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Rp. 1.824.000
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Rp. 1.551.000
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Real-World Evidence in Drug Development and Evaluation
by Yang, Harry    Yu, Binbing   
(Paperback - English - 9780367637019)
Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations. It plays an important role in transforming drug development from a process aimed at meeting regulatory expectations to an operating model that leverages data from disparate sources to aid business, regulatory, and healthcare decision making. Despite its many benefits, there is no single book systematically covering the latest development in the field. Written specifically for pharmaceutical practitioners, strong Real-World Evidence in Drug Development and Evaluation strong , presents a wide range of RWE applications throughout the lifecycle of drug product development. With con ..
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Rp. 1.670.000
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Rp. 1.420.000
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Medical Risk Prediction Models: With Ties to Machine Learning
by Gerds, Thomas A.    Kattan, Michael W.   
(Paperback - English - 9780367673734)
strong Medical Risk Prediction Models: With Ties to Machine Learning strong is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient's individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest. Features: ul ..
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Rp. 1.843.000
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Rp. 1.567.000
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Statistics in the Health Sciences: Theory, Applications, and Computing
by Vexler, Albert    Hutson, Alan   
(Paperback - English - 9781032402000)
"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS."-- Vlad Dragalin, Professor, Johnson and Johnson, Spring ..
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Rp. 1.750.000
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Rp. 1.488.000
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Statistical Distributions: A Comprehensive Approach
by Wright, Calanthia       
(Hardcover - English - 9781639894956)
A statistical distribution is a parameterized mathematical function that gives the probabilities of different outcomes for a random variable. There are discrete and continuous distributions depending on the random values they model. Some of the most prominent statistical distributions are Bernoulli distribution, binomial distribution, geometric distribution, uniform distribution, normal distribution, Poisson distribution, and exponential distribution. This group of statistical distributions has plentiful applications to studies in statistics and probability, and it also helps in solving real problems. Understanding statistical distributions plays a very importan ..
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Rp. 3.095.000
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Rp. 2.631.000
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Foundations of the Theory of Probability
by Kolmogorov, A. N.       
(Hardcover - English - 9781013818677)
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical e ..
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Rp. 708.000
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Rp. 602.000
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Measure, Integral, Probability & Processes: A concise introduction to probability and random processes. Probab(ilistical)ly the theoretical minimum
by Schilling, René L.       
(Paperback - English - 9798599104889)
In these lecture notes we give a self-contained and concise introduction to the essentials of modern probability theory. The material covers all concepts and techniques usually taught at BSc and first-year graduate level probability courses: Measure & integration theory, elementary probability theory, further probability, classic limit theorems, discrete-time and continuous-time martingales, Poisson processes, random walks & Markov chains and, finally, first steps towards Brownian motion. The text can serve as a course companion, for self study or as a reference text. Concepts, which will be useful for later chapters and further studies are introduced early on. ..
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Rp. 617.000
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Rp. 524.000
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