Judy Robertson – författare

Judy Robertson shares her unique insider's viewpoint as a woman in the Mormon church. After she and her husband rediscovered God's truth, they faced torment and persecution upon leaving the LDS church. This reader-friendly book is one of the few Christian books that focuses first on an individual's journey from Mormonism rather than on theology or Christian doctrines. The revised edition includes testimonies of others who have left the Mormon church and what God is doing today through Concerned Christians. Readers will find Out of Mormonism a useful resource for understanding and witnessing to friends and family in the LDS church.

Have you ever wondered what the main differences are between the Latter-day Saint religion and Biblical/historical Christianity? This book reveals them in a unique way. Come alongside Judy Robertson as she interviews those who have questioned their religion. Learn how the unique nuances in LDS teachings can help you understand what holds the Latter-day Saint heart. The  candid answers from those whose lives have been set free will help you be prepared now, with the answers you need. As 1 Peter 3:15 says, "Always be prepared to give an answer to everyone who asks you to give the reason for the hope that you have.

Judy Robertson shares her unique insider''s viewpoint as a woman in the Mormon church. After she and her husband rediscovered God''s truth, they faced torment and persecution upon leaving the LDS church. This reader-friendly book is one of the few Christian books that focuses first on an individual''s journey from Mormonism rather than on theology or Christian doctrines. The revised edition includes testimonies of others who have left the Mormon church and what God is doing today through Concerned Christians. Readers will find Out of Mormonism a useful resource for understanding and witnessing to friends and family in the LDS church.

This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader.  Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event history analysis, non-parametric testing and Bayesian inference; the research contained in this book discusses how to communicate statistical results fairly, as well as presenting a general set of recommendations for authors and reviewers to improve the quality of statistical analysis in HCI. Each chapter presents [R] code for running analyses on HCI examples and explains how the results can be interpreted.Modern Statistical Methods for HCI is aimed at researchers and graduate students who have some knowledge of “traditional” null hypothesis significance testing, but who wish to improve their practice by using techniques which have recently emerged from statistics and relatedfields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.

This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader. 

Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event history analysis, non-parametric testing and Bayesian inference; the research contained in this book discusses how to communicate statistical results fairly, as well as presenting a general set of recommendations for authors and reviewers to improve the quality of statistical analysis in HCI. Each chapter presents [R] code for running analyses on HCI examples and explains how the results can be interpreted.

Modern Statistical Methods for HCI is aimed at researchers and graduate students who have some knowledge of “traditional” null hypothesis significance testing, but who wish to improve their practice by using techniques which have recently emerged from statistics and relatedfields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.