Statistical Data Analysis Inference (21 results)

Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Couverture différente. Edition 1980. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 1980. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Hardcover. 615 p. Very good condition. Reading pages are clean and without markings. Slight signs of storage and use. Spine slightly light-margined. Otherwise a decent copy. 9780444880291 Sprache: Englisch Gewicht in Gramm: 1200.

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book serves as a concise and reader-friendly, yet rigorous and thought-provoking introduction to the field of statistical inference. As opposed to classical books on mathematical statistics, where there is a strong emphasis on proofs, this book focuses on developing statistical thinking, intuitive understandings of the subject, and specific applications of statistical inference in data science. As a corollary, though also covered, proofs will not be of paramount importance in the book. Their main role will be to provide the intuition and rationale behind the corresponding methods. The focus is on methods of statistical inference and their scope and limitations for real-world applications. On the other hand, statistical inference is not simply a toolbox that contains ready-made answers to all data-related questions. Almost always, as in solving engineering problems, statistical inference and analysis of new data require adjustment of existing tools or even developing completely new methods. To enable readers to modify existing methods and develop new ones, the book not only explains how the standard methods work, but also why, when, and under what assumptions. All chapters include end-of-chapter problems, with solutions provided at the end of the book.One of the goals of the book is to serve as an introductory text on statistical inference that can be used for teaching a semester-long course. The book is suitable for future and junior data scientists, data analysts, and industry researchers, as well as graduate and upper undergraduate students in computing and mathematical sciences, and master's and Ph.D. students in non-mathematical sciences and engineering. While familiarity with probability is assumed, readers need no prior knowledge of statistics.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints. Curve fitting can involve either interpolation, where an exact fit to the data is required, or smoothing, in which a 'smooth' function is constructed that approximately fits the data. A related topic is regression analysis, which focuses more on questions of statistical inference such as how much uncertainty is present in a curve that is fit to data observed with random errors. Fitted curves can be used as an aid for data visualization, to infer values of a function where no data are available, and to summarize the relationships among two or more variables. Extrapolation refers to the use of a fitted curve beyond the range of the observed data, and is subject to a greater degree of uncertainty since it may reflect the method used to construct the curve as much as it reflects the observed data.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Uncomfortable science is the term coined by statistician John Tukey for cases in which there is a need to draw an inference from a limited sample of data, where further samples influenced by the same cause system will not be available. More specifically, it involves the analysis of a finite natural phenomenon for which it is difficult to overcome the problem of using a common sample of data for both exploratory data analysis and confirmatory data analysis. This leads to the danger of systematic bias through testing hypotheses suggested by the data.

Buch. Condition: Neu. Fundamentals of Statistical Inference | Foundations of Data Analysis | Konstantin M. Zuev | Buch | xxvii | Englisch | 2026 | Springer | EAN 9783032038470 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Taschenbuch. Condition: Neu. Uncomfortable Science | Statistician, John Tukey, Statistical Inference, Exploratory Data Analysis, Statistical Hypothesis Testing Systematic Bias, Titius-Bode Law, Cosmic Variance, Cosmological Horizon | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130334956 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. Statistical hypothesis testing | Exploratory data analysis, Frequency probability, Statistical inference, Bayesian inference, Null hypothesis, Alternative hypothesis, Publication bias, Comparing means | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130071547 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.