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In 70 countries worldwide, there is an estimated 370 million
indigenous peoples, and their rich diversity of cultures,
religions, traditions, languages and histories has been significant
source of our scholarships. However, the health status of this
population group is far below than that of non-indigenous
populations by all standards. Could the persisting reluctance to
understand the influence of self-governance, globalization and
social determinants of health in the lives of these people be
deemed as a contributor to the poor health of indigenous peoples?
Within this volume, Ullah explores the gap in health status between
indigenous and non-indigenous peoples by providing a comparative
assessment of socio-economic and health indicators for indigenous
peoples, government policies, and the ways in which indigenous
peoples have been resisting and adapting to state policies. A
timely book for a growing field of study, Globalization and the
Health of Indigenous Peoples is a must read for academics,
policy-makers, and practitioners who are interested in indigenous
studies and in understanding the role that globalization plays for
the improvement of indigenous peoples' health across the world.
Provides in an organized manner characterizations of univariate
probability distributions with many new results published in this
area since the 1978 work of Golambos & Kotz "Characterizations
of Probability Distributions" (Springer), together with
applications of the theory in model fitting and predictions.
Ordered Random Variables have attracted several authors. The basic
building block of Ordered Random Variables is Order Statistics
which has several applications in extreme value theory and ordered
estimation. The general model for ordered random variables, known
as Generalized Order Statistics has been introduced relatively
recently by Kamps (1995).
The aim of the book is to give a through account of the basic
theory of extreme value distributions. The book cover a wide range
of materials available to date. The central ideas and results of
extreme value distributions are presented. The book rwill be useful
o applied statisticians as well statisticians interrested to work
in the area of extremen value distributions.vmonograph presents the
central ideas and results of extreme value distributions.The
monograph gives self-contained of theory and applications of
extreme value distributions.
A lot of statisticians, actuarial mathematicians, reliability
engineers, meteorologists, hydrologists, economists. Business and
sport analysts deal with records which play important roles in
various fields of statistics and its application. This book enables
a reader to check his/her level of understanding of the theory of
record values. We give basic formulae which are more important in
the theory and present a lot of examples which illustrate the
theoretical statements. For a beginner in record statistics, as
well as for graduate students the study of our book needs the basic
knowledge of the subject. A more advanced reader can use our book
to polish his/her knowledge. An upgraded list of bibliography which
will help a reader to enrich his/her theoretical knowledge and
widen the experience of dealing with ordered observations, is also
given in the book.
This book presents the theory of order statistics in a way, such
that beginners can get easily acquainted with the very basis of the
theory without having to work through heavily involved techniques.
At the same time more experienced readers can check their level of
understanding and polish their knowledge with certain details. This
is achieved by, on the one hand, stating the basic formulae and
providing many useful examples to illustrate the theoretical
statements, while on the other hand an upgraded list of references
will make it easier to gain insight into more specialized results.
Thus this book is suitable for a readership working in statistics,
actuarial mathematics, reliability engineering, meteorology,
hydrology, business economics, sports analysis and many more.
This book contains entirely new results, not to be found elsewhere.
Furthermore, additional results scattered elsewhere in the
literature are clearly presented. Several well-known distributions
such as Weibull distributions, exponentiated Burr type XII
distributions and exponentiated exponential distributions and their
properties are demonstrated. Analysis of real as well as
well-simulated data are analyzed. A number of inferences based on a
finite mixture of distributions are also presented.
The most important properties of normal and Student t-distributions
are presented. A number of applications of these properties are
demonstrated. New related results dealing with the distributions of
the sum, product and ratio of the independent normal and Student
distributions are presented. The materials will be useful to the
advanced undergraduate and graduate students and practitioners in
the various fields of science and engineering.
This book presents the theory of order statistics in a way, such
that beginners can get easily acquainted with the very basis of the
theory without having to work through heavily involved techniques.
At the same time more experienced readers can check their level of
understanding and polish their knowledge with certain details. This
is achieved by, on the one hand, stating the basic formulae and
providing many useful examples to illustrate the theoretical
statements, while on the other hand an upgraded list of references
will make it easier to gain insight into more specialized results.
Thus this book is suitable for a readership working in statistics,
actuarial mathematics, reliability engineering, meteorology,
hydrology, business economics, sports analysis and many more.
In 70 countries worldwide, there is an estimated 370 million
indigenous peoples, and their rich diversity of cultures,
religions, traditions, languages and histories has been significant
source of our scholarships. However, the health status of this
population group is far below than that of non-indigenous
populations by all standards. Could the persisting reluctance to
understand the influence of self-governance, globalization and
social determinants of health in the lives of these people be
deemed as a contributor to the poor health of indigenous peoples?
Within this volume, Ullah explores the gap in health status between
indigenous and non-indigenous peoples by providing a comparative
assessment of socio-economic and health indicators for indigenous
peoples, government policies, and the ways in which indigenous
peoples have been resisting and adapting to state policies. A
timely book for a growing field of study, Globalization and the
Health of Indigenous Peoples is a must read for academics,
policy-makers, and practitioners who are interested in indigenous
studies and in understanding the role that globalization plays for
the improvement of indigenous peoples' health across the world.
CONTENTS: Partially Adaptive Rank and Regression Rank Scores Tests
in Linear Models; An Analysis of Nonoparametric Smoothers;
Supercritical Branching Random Walk in D-Dimensional Random
Environment; Lack of Fit Tests in Regression With Non-Random
Design; Asymptotics of the Deepest Line; Multivariate Rank
Statistics Processes and Change Point Analysis; Improved Estimation
of the Parameters of an Autoagressive Gaussian Process Under
Uncertain Restrictions; Testing Normality For Censored Data; Large
Sample theory For Estimators of the Moments Based On Synthetic Data
Under Randomly Right-Censoring; The Stein Phenomenon in
Simultaneous Estimation: A Review; Two Techniques of Integration By
Parts and Some Applications; Conditional Confidence Intervals of
Regression Coefficients Following Rejection of Preliminary Test;
Order Preserving Estimators of Eigenvalues of the Scale Matrix in
the Multivariate F Distribution Under Stein's Loss Function;
Sequential Estimation of the Man of An Exponential Distribution Via
Partial Piece Wise Sampling; Recent Developments on Probability
Matching Priors; On the Informative Presentation of Likelihood;
Bahadur Risk, Exponential Families and Recursive Estimation; Some
Quick Estimators Based on Sample Maxima; Inferences of Power
Function Distribution Based on Ordered Random Variables; Estimation
of the Location Parameter of A Cauchy Distribution Using A Ranked
Set Sample; On A Delayed Service Queuing System With Random Server
Capacity and Impatient Customers; Canonical Co-ordinated for
Graphical Representation of Multivariate Data; Some Single Use
Confidence Regions in Multivariate Calibration Problem; The
Likelihood Ratio Test of Non-Nested Linear Regression Models; Exact
Power of Classical Tests for Bivariate Linear Hypothesis;
Characterisation of the Gamma and the Complex Case Wishart
Densities; Jack-knife and Robust Estimation for the Parameters in
Pharmocokinetes.
Contents: Nonparametric Perspectives in Regression Analysis; Record
Values of Univariate Distribution; A Transfer Theorem for Multitype
Processes & Applications; The Generalized Order Statistics;
Some Inference Aspects of a Social Network; Estimation of Mean
Based on an Unbalanced Ranked Set Sample; Lower Bound to Mean
Square Error of Estimator in Unequal Probability Sampling;
Asymptomic Shrinkage Estimation: The Regression Case; Estimation of
Parameters Using Modified Ranked Set Sampling; Certain Families of
Distributions.
This is a Nova Science Publication.
In this book, Mohammad Ahsanullah provides a detailed description
of the general theory and applications of record values. Professor
Ahsanullah thoroughly discusses the most useful distributions and
inferences based on record values, resulting in conclusions that
are not available in previously published works. The book, written
on an intermediate level that requires the basic knowledge of
calculus, probability theory, and mathematical statistics, can be
used as a text for advanced undergraduate or graduate level
courses.
Computers have taken a permanent place in almost every human
endeavour in the last 20 years. This infiltration requires a
learning process on the part of the people utilising them and
realising where and how they can be best used beyond the basic and
obvious applications. Statistics is an example of their application
in many diverse fields to reach conclusions and make projections
never before possible. Beyond this, applied statistics is rapidly
becoming not only an instrument, but an integral part of the
advance of knowledge. There are many fields such as medicine,
biology, weather prediction, military planning, and many others
where the statistical studies are essential before the next step
can be taken. This book gathers together the latest research in
this dynamic and link field.
Exponential distribution is one of the most-used distributions in
the theory and practice of statistics. It has several important
properties like being memoryless and having a constant hazard rate.
The field of characterization is developed in different branches of
statistics and applied probability. Ordered random variables are
common in various applications in practice. In this book,
characterizations of exponential distribution using ordered random
variables are presented. Most of the known results as well as many
new results are given in this book. The aim of the book is to
present various characterizations of exponential distribution based
on ordered random variables. The book is written on a lower
technical level and requires basic knowledge of mathematics and
statistics. Chapter 1 gives some basic properties of exponential
distribution. Chapters 2, 3, and 4 give the characterization of
exponential distribution based on order statistics, record values,
and generalized order statistics.
This book makes a significant contribution to the advancement of
statistical science. It contains research in many statistical
designs, compares many statistical models, and includes a theory
that is oriented to real life problems.
It is the desire in a person that makes one seek the truth. And it
is the silent whispers of the heart that stirs those desires to
take the courageous path. Like the whispers of my heart to have my
independent thinking, to examine everything. Like the yearning in
me to find out why I exist and what really is the concept of God.
This, led me to embark on my journey of discovery, I was ready to
take on the challenge. Like me, every one of us desires to know the
answers to the meaning of their lives and beliefs. Few gather the
courage to walk this road. Fear of what they might discover at the
Turning Point of the road grips them, fear of losing the comfort
zone they possess shatters them and fear of being alone in the end
terrifies them. So they shun their desire for truth and subdue
their courage for questioning and challenging. What 'Turning Point'
has to offer is only for those who are ready to meet their fears,
take the challenge and find the answers. If our Creator is the
truth, our puny challenges and questions can do no harm to its
existence. Are you ready?
Univariate statistical distributions, with their basic properties,
are an important part of advance statistics. The "Handbook on
Univariate Statistical Distributions" includes most of the
univariate statistical distributions that are used in practice.
Author M. Ahsanullah has presented most of the common univariate
discrete and continuous statistical distributions with their basic
properties. For each distribution, most of the common basic
properties-such as distribution functions, moments, and generating
functions-are provided for easy reference. This information is
integral to understanding and using these distributions.The first
chapter includes definitions and concepts that are needed to study
the distributions and some mathematical functions that are used in
other chapters. Successive chapters include distributions and their
generalized forms with basic properties and relations with other
distributions. In addition, order statistics and record values are
discussed for some of the distributions. The "Handbook on
Univariate Statistical Distributions, " an excellent reference for
researchers and practitioners who conduct in-depth statistical
analysis, is the definitive guide to understanding the vitally
important statistical distributions, designed with upper level
undergraduate and graduate students in mind.
Computers have taken a permanent place in almost every human
endeavor in the last 20 years. This infiltration requires a
learning process on the part of the people utilising them and
realising where and how they can be best used beyond the basic and
obvious applications. Statistics is an example of their application
in many diverse fields to reach conclusions and make projections
never before possible. Beyond this, applied statistics is rapidly
becoming not only an instrument, but an integral part of the
advance of knowledge. There are many fields such as medicine,
biology, weather prediction, military planning, and many others
where the statistical studies are essential before the next step
can be taken. This book presents recent research in the field from
around the globe.
From time immemorial human beings migrated for many reasons.
Theorists offered various explanations why they move from the place
of their origin to another destination. Over the past centuries,
forms, dynamics, routes and volumes of migration have changed
dramatically. No single theory can provide a comprehensive
explanation for the current migration trend. Ernest Ravenstein
developed his Laws of Migration in 1889 and concluded that
migration was governed by a push-pull process. Many theorists have
followed in Ravenstein's footsteps, and the dominant theories in
contemporary scholarship are more or less variations of his
conclusions. However, most theories are region or country specific.
This collection offers simplified explanations of dominant theories
from different perspectives, and some experiences from Bangladesh.
This is an essential piece of work for geographers, researchers and
academics from any discipline in social sciences.
Computers have taken a permanent place in almost every human
endeavour in the last 20 years. This infiltration requires a
learning process on the part of the people utilising them and
realising where and how they can be best used beyond the basic and
obvious applications. Statistics is an example of their application
in many diverse fields to reach conclusions and make projections
never before possible. Beyond this, applied statistics is rapidly
becoming not only an instrument, but an integral part of the
advance of knowledge. There are many fields such as medicine,
biology, weather prediction, military planning, and many others
where the statistical studies are essential before the next step
can be taken. This book gathers together the latest research in
this dynamic and link field.
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