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Tests and Proofs - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Tests and Proofs - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Tests and Proofs - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Multi-run Memory Tests for Pattern Sensitive Faults - Ireneusz Mrozek - Bog - Springer Nature Switzerland AG - Plusbog.dk

Mastering Modern Psychological Testing - Cecil R. Reynolds - Bog - Springer Nature Switzerland AG - Plusbog.dk

Mastering Modern Psychological Testing - Cecil R. Reynolds - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book provides a comprehensive introduction to psychological assessment and covers areas not typically addressed in existing test and measurements texts, such as neuropsychological assessment and the use of tests in forensics settings. The book introduces the vocabulary of the profession and the most basic mathematics of testing early as being fundamental to understanding the field. Numerous examples are drawn from tests that the authors have written or otherwise helped to develop, reflecting the authors'' deep understanding of these tests and their familiarity with problems encountered in test development, use, and interpretation. Following the introduction of the basic areas of psychometrics, the book moves to areas of testing that represent various approaches to measuring different psychological constructs (memory, language, executive function, etc.), with emphasis on the complex issue of cultural bias in testing. Examples of existing tests are given throughout the book; however, this book is not designed to prepare students to go out and administer, score, and interpret specific psychological tests. Rather, the purpose of this book is to provide the foundational core of knowledge about tests, measurement, and assessment constructs, issues, and quantitative tools. - Explains what constitutes a psychological test, how tests are developed, how they are best used, and how to evaluate their strengths and weaknesses; - Describes areas of testing that represent different approaches to measuring different psychological constructs; - Explains applications of psychological testing to issues in the courts; - Addresses how test authors and publishers design and research tests to address the difficult and demanding issues of cultural differences in test performance and interpretation of test results.

DKK 884.00
1

Pediatric Diagnostic Labs for Primary Care: An Evidence-based Approach - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Modern Bayesian Statistics in Clinical Research - Ton J. Cleophas - Bog - Springer Nature Switzerland AG - Plusbog.dk

Modern Bayesian Statistics in Clinical Research - Ton J. Cleophas - Bog - Springer Nature Switzerland AG - Plusbog.dk

The current textbook has been written as a help to medical / health professionals and students for the study of modern Bayesian statistics, where posterior and prior odds have been replaced with posterior and prior likelihood distributions. Why may likelihood distributions better than normal distributions estimate uncertainties of statistical test results? Nobody knows for sure, and the use of likelihood distributions instead of normal distributions for the purpose has only just begun, but already everybody is trying and using them. SPSS statistical software version 25 (2017) has started to provide a combined module entitled Bayesian Statistics including almost all of the modern Bayesian tests (Bayesian t-tests, analysis of variance (anova), linear regression, crosstabs etc.). Modern Bayesian statistics is based on biological likelihoods, and may better fit clinical data than traditional tests based normal distributions do. This is the first edition to systematically imply modern Bayesian statistics in traditional clinical data analysis. This edition also demonstrates that Markov Chain Monte Carlo procedures laid out as Bayesian tests provide more robust correlation coefficients than traditional tests do. It also shows that traditional path statistics are both textually and conceptionally like Bayes theorems, and that structural equations models computed from them are the basis of multistep regressions, as used with causal Bayesian networks.

DKK 519.00
1

A Primer of Permutation Statistical Methods - Kenneth J. Berry - Bog - Springer Nature Switzerland AG - Plusbog.dk

Philosophy of Advanced Medical Imaging - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Practical Statistics for Pharmaceutical Analysis - James E. De Muth - Bog - Springer Nature Switzerland AG - Plusbog.dk

Practical Statistics for Pharmaceutical Analysis - James E. De Muth - Bog - Springer Nature Switzerland AG - Plusbog.dk

This is an introductory statistics book designed to provide scientists with practical information needed to apply the most common statistical tests to laboratory research data. The book is designed to be practical and applicable, so only minimal information is devoted to theory or equations. Emphasis is placed on the underlying principles for effective data analysis and survey the statistical tests. It is of special value for scientists who have access to Minitab software. Examples are provides for all the statistical tests and explanation of the interpretation of these results presented with Minitab (similar to results for any common software package). The book is specifically designed to contribute to the AAPS series on advances in the pharmaceutical sciences. It benefits professional scientists or graduate students who have not had a formal statistics class, who had bad experiences in such classes, or who just fear/don''t understand statistics . Chapter 1 focuses on terminology and essential elements of statistical testing. Statistics is often complicated by synonyms and this chapter established the terms used in the book and how rudiments interact to create statistical tests. Chapter 2 discussed descriptive statistics that are used to organize and summarize sample results. Chapter 3 discussed basic assumptions of probability, characteristics of a normal distribution, alternative approaches for non-normal distributions and introduces the topic of making inferences about a larger population based on a small sample from that population. Chapter 4 discussed hypothesis testing where computer output is interpreted and decisions are made regarding statistical significance. This chapter also deasl with the determination of appropriate sample sizes. The next three chapters focus on tests that make decisions about a population base on a small subset of information. Chapter 5 looks at statistical tests that evaluate where a significant difference exists. In Chapter 6 the tests try to determine the extent and importance of relationships. In contrast to fifth chapter, Chapter 7 presents tests that evaluate the equivalence, not the difference between levels being tested. The last chapter deals with potential outlier or aberrant values and how to statistically determine if they should be removed from the sample data. Each statistical test presented includes an example problem with the resultant software output and how to interpret the results. Minimal time is spent on the mathematical calculations or theory. For those interested in the associated equations, supplemental figures are presented for each test with respective formulas. In addition, Appendix D presents the equations and proof for every output result for the various examples. Examples and results from the appropriate statistical results are displayed using Minitab 18 Ò . In addition to the results, the required steps to analyze data using Minitab are presented with the examples for those having access to this software. Numerous other software packages are available, including based data analysis with Excel.

DKK 689.00
1

Finite Form Representations for Meijer G and Fox H Functions - Carlos A. Coelho - Bog - Springer Nature Switzerland AG - Plusbog.dk

Materials and Manufacturing Processes - J. Paulo Davim - Bog - Springer Nature Switzerland AG - Plusbog.dk

Advances in Open Systems and Fundamental Tests of Quantum Mechanics - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Quality Confirmation Tests for Power Transformer Insulation Systems - Behrooz Vahidi - Bog - Springer Nature Switzerland AG - Plusbog.dk

Advances in Open Systems and Fundamental Tests of Quantum Mechanics - - Bog - Springer Nature Switzerland AG - Plusbog.dk

A Holistic View of Software and Hardware Reuse - Fevzi Belli - Bog - Springer Nature Switzerland AG - Plusbog.dk

Permutation Statistical Methods with R - Kenneth L. Kvamme - Bog - Springer Nature Switzerland AG - Plusbog.dk

Permutation Statistical Methods with R - Kenneth L. Kvamme - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.

DKK 816.00
1