**Statistics Without Maths for Psychology, 7th edition**

English | 2017 | ISBN: 1292128852 | 634 Pages | PDF (True) | 24 MB

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English | 2017 | ISBN: 1292128852 | 634 Pages | PDF (True) | 24 MB

The book is intended to serve as an introductory course in group theory geared towards second-year university students. It aims to provide them with the background needed to pursue more advanced courses in algebra and to provide a rich source of examples and exercises. Studying group theory began in the late eighteenth century and is still gaining importance due to its applications in physics, chemistry, geometry, and many fields in mathematics.

Essays in Honor of Masanobu Taniguchi

English | 2023 | ISBN: 9819908027 | 570 Pages | EPUB (True) | 64 MB

English | PDF (True) | 2023 | 591 Pages | ISBN : 9819908027 | 24.4 MB

This book compiles theoretical developments on statistical inference for time series and related models in honor of Masanobu Taniguchi's 70th birthday. It covers models such as long-range dependence models, nonlinear conditionally heteroscedastic time series, locally stationary processes, integer-valued time series, Lévy Processes, complex-valued time series, categorical time series, exclusive topic models, and copula models. Many cutting-edge methods such as empirical likelihood methods, quantile regression, portmanteau tests, rank-based inference, change-point detection, testing for the goodness-of-fit, higher-order asymptotic expansion, minimum contrast estimation, optimal transportation, and topological methods are proposed, considered, or applied to complex data based on the statistical inference for stochastic processes.

English | PDF (True) | 2023 | 429 Pages | ISBN : 9819901464 | 14.3 MB

The book is intended to serve as an introductory course in group theory geared towards second-year university students. It aims to provide them with the background needed to pursue more advanced courses in algebra and to provide a rich source of examples and exercises. Studying group theory began in the late eighteenth century and is still gaining importance due to its applications in physics, chemistry, geometry, and many fields in mathematics.

English | PDF EPUB (True) | 2023 | 103 Pages | ISBN : 9819918618 | 10.9 MB

This book presents a study of statistical inferences based on the kernel-type estimators of distribution functions. The inferences involve matters such as quantile estimation, nonparametric tests, and mean residual life expectation, to name just some. Convergence rates for the kernel estimators of density functions are slower than ordinary parametric estimators, which have root-n consistency. If the appropriate kernel function is used, the kernel estimators of the distribution functions recover the root-n consistency, and the inferences based on kernel distribution estimators have root-n consistency. Further, the kernel-type estimator produces smooth estimation results. The estimators based on the empirical distribution function have discrete distribution, and the normal approximation cannot be improved—that is, the validity of the Edgeworth expansion cannot be proved. If the support of the population density function is bounded, there is a boundary problem, namely the estimator does not have consistency near the boundary. The book also contains a study of the mean squared errors of the estimators and the Edgeworth expansion for quantile estimators.

English | 2003 | ISBN: 1607952866 | ASIN: B08FG8LQZZ | PDF | pages: 355 | 11.2 mb

English | July 6th, 2023 | ISBN: 1394156308 | 339 pages | True PDF | 38.40 MB

Practice making sense of data with IBM's SPSS Statistics software

English | PDF EPUB (True) | 2023 | 678 Pages | ISBN : 3031295544 | 74.2 MB

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules.

English | 2014 | ISBN: 0990637204 | PDF | pages: 1007 | 20.7 mb

Volume 1: Building a Program of Research

English | 2023 | ISBN: 1316518523 | 887 Pages | PDF | 10 MB

English | 2006 | ISBN: 802461152X | DJVU | pages: 96 | 0.5 mb

by Barbara Tabachnick

English | 2019 | ISBN: 0134790545 | 850 Pages | PDF | 110 MB

English | 2001 | ISBN: 1408522292 | 348 pages | PDF (scan) | 39.1 MB

.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 36m | 552 MB

Instructor: Eddie Davila