ईबुक > विज्ञान > गणित > Steve Jackson: Computation of $/delta ^1_5$ (PDF)

Steve Jackson
Computation of $/delta ^1_5$

समर्थन

का आवरण Steve Jackson: Computation of $/delta ^1_5$ (PDF)

€73.40

Buy this ebook and get 1 more FREE!

स्वरूप PDF ● पेज 94 ● ISBN 9781470402617 ● प्रकाशक American Mathematical Society ● डाउनलोड करने योग्य 3 बार ● मुद्रा EUR ● आईडी 6612870 ● कॉपी सुरक्षा Adobe DRM

एक DRM सक्षम ईबुक रीडर की आवश्यकता है

एक ही लेखक से अधिक ईबुक / संपादक

47,502 इस श्रेणी में ईबुक

का आवरण Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional rela …

का आवरण Jeffrey Holt: Linear Algebra

Jeffrey Holt: Linear Algebra

Now in its 2nd edition, Linear Algebra with Applications blends computational and conceptual topics to prepare students for the rigors of conceptual thinking in an abstract setting. The early treatme …

का आवरण David J. (Naval Surface Warfare Center, Dahlgren, Virginia, USA) Marchette & Rakesh M. (University of Houston, Texas, USA) Verma: Cybersecurity Analytics

David J. (Naval Surface Warfare Center, Dahlgren, Virginia, USA) Marchette & Rakesh M. (University of Houston, Texas, USA) Verma: Cybersecurity Analytics

Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student a …

का आवरण John E. Kolassa: An Introduction to Nonparametric Statistics

John E. Kolassa: An Introduction to Nonparametric Statistics

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data.　Rank-based and resamplin …

का आवरण Vahed Maroufy & Hulin Wu: Statistics and Machine Learning Methods for EHR Data

Vahed Maroufy & Hulin Wu: Statistics and Machine Learning Methods for EHR Data

The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research. However, analysis of this type of data has many unique complications due to h …

का आवरण Michele Ciarletta & D. Iesan: Non-Classical Elastic Solids

Michele Ciarletta & D. Iesan: Non-Classical Elastic Solids

Problems concerning non-classical elastic solids continue to attract the attention of mathematicians, scientists and engineers. Research in this area addresses problems concerning many substances, …

का आवरण Rolando Chuaqui: Analysis

Rolando Chuaqui: Analysis

This volume contains versions of invited addresses and communications for the First Chilean Symposium of Mathematics, revealing the results of the mathematical advances in areas such as stochastic …

का आवरण John (Brigham Young University, USA) Lawson: An Introduction to Acceptance Sampling and SPC with R

John (Brigham Young University, USA) Lawson: An Introduction to Acceptance Sampling and SPC with R

An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and improving quality. Topics covered include acceptance sampling; Shew …

का आवरण Hugo J. Woerdeman: Linear Algebra

Hugo J. Woerdeman: Linear Algebra

There is good reason to be excited about Linear Algebra. With the world becoming increasingly digital, Linear Algebra is gaining more and more importance. When we send texts, share video, do internet …

का आवरण Rita (Universita di Bologna, Italy) Fioresi & Marta (Universita di Bologna, Italy) Morigi: Introduction to Linear Algebra

Rita (Universita di Bologna, Italy) Fioresi & Marta (Universita di Bologna, Italy) Morigi: Introduction to Linear Algebra

Linear algebra provides the essential mathematical tools to tackle all the problems in Science. Introduction to Linear Algebra is primarily aimed at students in applied fields (e.g. Computer Science …

अगला पृष्ठ >>>