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Age, Period and Cohort Effects: Statistical Analysis and the
Identification Problem gives a number of perspectives from top
methodologists and applied researchers on the best ways to attempt
to answer Age-Period-Cohort related questions about society.
Age-Period-Cohort (APC) analysis is a fundamental topic for any
quantitative social scientist studying individuals over time. At
the same time, it is also one of the most misunderstood and
underestimated topics in quantitative methods. As such, this book
is key reference material for researchers wanting to know how to
deal with APC issues appropriately in their statistical modelling.
It deals with the identification problem caused by the co-linearity
of the three variables, considers why some currently used methods
are problematic and suggests ideas for what applied researchers
interested in APC analysis should do. Whilst the perspectives are
varied, the book provides a unified view of the subject in a
reader-friendly way that will be accessible to social scientists
with a moderate level of quantitative understanding, across the
social and health sciences.
Age, Period and Cohort Effects: Statistical Analysis and the
Identification Problem gives a number of perspectives from top
methodologists and applied researchers on the best ways to attempt
to answer Age-Period-Cohort related questions about society.
Age-Period-Cohort (APC) analysis is a fundamental topic for any
quantitative social scientist studying individuals over time. At
the same time, it is also one of the most misunderstood and
underestimated topics in quantitative methods. As such, this book
is key reference material for researchers wanting to know how to
deal with APC issues appropriately in their statistical modelling.
It deals with the identification problem caused by the co-linearity
of the three variables, considers why some currently used methods
are problematic and suggests ideas for what applied researchers
interested in APC analysis should do. Whilst the perspectives are
varied, the book provides a unified view of the subject in a
reader-friendly way that will be accessible to social scientists
with a moderate level of quantitative understanding, across the
social and health sciences.
The amount of data produced, captured and transmitted through the
media has never been greater. But for this data to be useful, it
needs to be properly understood and claims made about or with data
need to be properly scrutinized. Through a series of examples of
statistics in the media, this book shows you how to critically
assess the presentation of data in the media, to identify what is
significant and to sort verifiable conclusions from misleading
claims. How accurate are polls, and how should we know? How should
league tables be read? Are numbers presented as 'large' really as
big as they may seem at first glance? By answering these questions
and more, readers will learn a number of statistical concepts
central to many undergraduate social science statistics courses. By
tying them in to real life examples, the importance and relevance
of these concepts comes to life. As such, this book does more than
teaches techniques needed for a statistics course; it teaches you
life skills that we need to use every single day.
Work with the newest Oracle API Platform Cloud Service to interface
with the increasingly complex array of services your clients want.
Key Features Understand the architecture and functionality of the
new Oracle API Cloud Service Platform Understand typical use cases
for the new platform and how it can work for you Design your own
APIs, then deploy and customize your APIs Implement Oauth 2.0
policy and custom policies Migrate from Oracle 12c solutions to the
new Oracle API platform Book DescriptionImplementing Oracle API
Platform Cloud Service moves from theory to practice using the
newest Oracle API management platform. This critical new platform
for Oracle developers allows you to interface the complex array of
services your clients expect in the modern world. First, you'll
learn about Oracle's new platform and get an overview of it, then
you'll see a use case showing the functionality and use of this new
platform for Oracle customers. Next, you'll see the power of Apiary
and begin designing your own APIs. From there, you'll build and run
microservices and set up the Oracle API gateways. Moving on, you'll
discover how to customize the developer portal and publish your own
APIs. You'll spend time looking at configuration management on the
new platform, and implementing the Oauth 2.0 policy, as well as
custom policies. The latest finance modules from Oracle will be
examined, with some of the third party alternatives in sight as
well. This broad-scoped book completes your journey with a clear
examination of how to transition APIs from Oracle API Management
12c to the new Oracle API Platform, so that you can step into the
future confidently. What you will learn Get an overview of the
Oracle API Cloud Service Platform See typical use cases of the
Oracle API Cloud Service Platform Design your own APIs using Apiary
Build and run microservices Set up API gateways with the new API
platform from Oracle Customize developer portals Configuration
management Implement Oauth 2.0 policies Implement custom policies
Get a policy SDK overview Transition from Oracle API Management 12c
to the new Oracle API platform Who this book is forThis book is for
all Oracle developers who are working or plan to work with the
Oracle API Platform Cloud Service.
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