Category : Retail trade
Editor :
ISBN : MINN:31951D02987776C
Type : PDF, Epub and Kindle
Language : en
Views : 882
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Category : Service industries
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ISBN : UOM:39015039647568
Type : PDF, Epub and Kindle
Language : en
Views : 1144
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Category : Retail trade
Editor :
ISBN : CORNELL:31924001937691
Type : PDF, Epub and Kindle
Language : en
Views : 1104
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Category :
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ISBN : PURD:32754082470869
Type : PDF, Epub and Kindle
Language : en
Views : 820
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Category : Education
Editor : Taxmann Publications Private Limited
ISBN : 9789356223219
Type : PDF, Epub and Kindle
Language : en
Views : 28
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This book is prepared exclusively for the Foundation Level of Chartered Accountancy Examination requirement. It covers the entire revised, new syllabus as per ICAI. It helps the students to answer several questions in a matter of seconds. The Present Publication is the 5th Edition & updated till 31st April 2022 for CA-Foundation | New Syllabus | Dec. 2022/May 2023 exams. This book is authored by Kailash Thakur, with the following noteworthy features: • As per the latest syllabus of ICAI • [Simple & Easy to Understand Language] is used throughout this book • [Illustrations] with short-cut tricks, calculator tricks with detailed methods & concepts have been included in this book • [Calculator & Special Tricks along with Tabular Format Presentation] for logical reasoning & statistics • [Remembering & Analysing Power] in statistics • Coverage of this book includes o Fully Solved Previous Exam Questions Paper, including: § CA-Foundation | December 2021 (Memory-Based) § CA-Foundation | June 2022 (Memory-Based) • [Student-Oriented Book] The author has developed this book keeping in mind the following factors: o Interaction of the author with their students, with specific emphasis on difficulties faced by students in the examinations o Shaped by the author's experience of teaching the subject matter at different levels o Reactions and responses of students have also been incorporated at different places in the book Contents of this book are as follows: • Ratio & Proportion • Indices • Logarithm • Linear Equation • Quadratic Equation • Inequalities • Simple Interest • Compound Interest • Annuity • Permutations and Combinations • Sequence & Series • Sets, Function and Relation • Differential Calculus • Integration • Number Series, Coding & Decoding • Direction Tests • Seating Arrangement • Blood Relation • Description of Data • Central Tendency • Measures of Dispersion • Probability • Probability Distribution (Theoretical Distribution) • Correlation • Regression Analysis • Index Numbers • Log Tables

Category : Mathematics
Editor : CRC Press
ISBN : 9781439840955
Type : PDF, Epub and Kindle
Language : en
Views : 677
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Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Category : Zambia
Editor :
ISBN : STANFORD:36105015486751
Type : PDF, Epub and Kindle
Language : en
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Category : Mathematics
Editor : Springer Science & Business Media
ISBN : 9783642201929
Type : PDF, Epub and Kindle
Language : en
Views : 558
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Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.

Category : Business & Economics
Editor : CRC Press
ISBN : 9781000152913
Type : PDF, Epub and Kindle
Language : en
Views : 431
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This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of this interface. These papers are a selected and referenced subset of papers presented at the 3rd Interntional Workshop on Artificial Intelligence and Statistics, Florida, January 1991.

Category : New Zealand
Editor :
ISBN : STANFORD:36105027970784
Type : PDF, Epub and Kindle
Language : en
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